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text-exp-qa-hard

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30k
question_id
int32
0
7
C2
{'C1': '45.75%', 'C2': '54.25%'}
[ "F47", "F66", "F67", "F48", "F30", "F70", "F79", "F5", "F60", "F44", "F20", "F26", "F33", "F77", "F10", "F36", "F41", "F14", "F32" ]
[ "negative", "positive", "negative", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "negative" ]
[ "-0.44", "0.37", "-0.35", "0.29", "0.25", "0.23", "-0.22", "0.21", "-0.21", "-0.15", "-0.10", "0.09", "0.08", "0.08", "0.08", "-0.07", "-0.06", "-0.05", "-0.03" ]
Of these features [F14, F36, F33, F60, F32], which support the prediction?
F33
14,531
2
C1
{'C1': '85.57%', 'C2': '14.43%'}
[ "F74", "F8", "F19", "F14", "F54", "F56", "F63", "F32", "F16", "F68", "F78" ]
[ "positive", "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "positive" ]
[ "0.47", "0.38", "0.32", "0.29", "-0.24", "0.23", "0.20", "-0.12", "-0.11", "0.08", "0.03" ]
Of the top 3 features, which are negative?
23,190
1
C1
{'C1': '77.91%', 'C2': '22.09%'}
[ "F2", "F18", "F56", "F44", "F62", "F43", "F19", "F57", "F28", "F22", "F9" ]
[ "negative", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "negative" ]
[ "-0.44", "0.36", "0.35", "-0.35", "-0.24", "-0.21", "-0.16", "-0.12", "-0.11", "-0.10", "-0.06" ]
Of these features [F2, F28, F19, F44, F62], which support the prediction?
4,201
2
C2
{'C1': '48.61%', 'C2': '51.39%'}
[ "F59", "F53", "F20", "F37", "F67", "F73", "F72" ]
[ "negative", "positive", "negative", "positive", "positive", "negative", "positive" ]
[ "-0.25", "0.23", "-0.22", "0.18", "0.15", "-0.12", "0.02" ]
Of the top 3 features, which are positive?
F53
14,043
0
C2
{'C1': '29.39%', 'C2': '70.61%'}
[ "F40", "F66", "F42", "F11", "F38", "F62", "F9", "F54", "F41", "F61", "F72", "F27", "F67", "F8", "F34", "F50", "F74" ]
[ "positive", "negative", "positive", "negative", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "negative", "positive", "negative", "negative", "positive", "negligible" ]
[ "0.48", "-0.47", "0.32", "-0.27", "0.20", "0.18", "0.13", "-0.12", "-0.09", "-0.07", "0.07", "-0.06", "0.02", "-0.02", "-0.02", "0.01", "0.00" ]
Of the top 2 features, which are negative?
F66
19,330
1
C1
{'C1': '69.19%', 'C2': '30.81%'}
[ "F9", "F8", "F19", "F57", "F14", "F52", "F10", "F31", "F12" ]
[ "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "negative" ]
[ "-0.46", "0.44", "-0.44", "-0.44", "-0.25", "-0.18", "0.09", "0.08", "-0.02" ]
Of the top 3 features, which are positive?
F8
14,200
0
C1
{'C1': '62.26%', 'C2': '37.74%'}
[ "F53", "F70", "F4", "F12", "F51", "F78", "F48", "F75", "F10", "F41", "F56", "F17", "F52", "F50", "F33", "F66" ]
[ "positive", "positive", "negative", "positive", "negative", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "positive", "positive", "positive" ]
[ "0.48", "0.45", "-0.42", "0.38", "-0.34", "0.29", "0.28", "0.28", "0.22", "0.18", "0.16", "-0.11", "0.08", "0.06", "0.05", "0.04" ]
What is the value of F48?
0.28
3,191
5
C1
{'C1': '61.56%', 'C2': '38.44%'}
[ "F2", "F16", "F44", "F71", "F54", "F25", "F14", "F11", "F55", "F68", "F67", "F38", "F15", "F28", "F56", "F21" ]
[ "positive", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "negligible", "negligible" ]
[ "0.49", "-0.48", "0.42", "-0.31", "-0.31", "-0.21", "0.17", "0.16", "0.15", "0.13", "0.12", "0.11", "-0.11", "0.11", "0.00", "0.00" ]
Which features have an absolute value greater than 0.31?
F2, F16, F44
18,878
4
C1
{'C1': '77.13%', 'C2': '22.87%'}
[ "F73", "F7", "F58", "F76", "F13", "F48", "F43", "F71", "F10" ]
[ "negative", "negative", "negative", "negative", "negative", "negative", "positive", "positive", "negative" ]
[ "-0.46", "-0.37", "-0.31", "-0.31", "-0.20", "-0.18", "0.11", "0.08", "-0.05" ]
What is the value of F48?
-0.18
3,888
5
C2
{'C1': '41.15%', 'C2': '58.85%'}
[ "F45", "F8", "F10", "F49", "F78", "F18", "F4", "F19", "F41", "F11", "F77", "F51", "F31", "F75", "F30", "F36" ]
[ "negative", "positive", "positive", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "positive", "positive", "negative", "negative", "negative" ]
[ "-0.42", "0.41", "0.39", "0.39", "0.39", "-0.33", "-0.32", "0.31", "-0.29", "-0.24", "0.19", "0.13", "0.13", "-0.08", "-0.01", "-0.01" ]
Which are the 4 least influential features?
F31, F75, F30, F36
25,017
6
C1
{'C1': '72.33%', 'C2': '27.67%'}
[ "F43", "F21", "F32", "F67", "F5", "F53", "F78", "F59", "F35", "F30", "F69", "F71", "F57", "F47", "F3", "F4", "F17", "F56" ]
[ "negative", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "positive" ]
[ "-0.50", "0.48", "0.47", "0.45", "0.42", "0.40", "0.38", "-0.36", "-0.29", "-0.29", "0.28", "-0.26", "-0.16", "-0.14", "0.12", "-0.11", "-0.04", "0.04" ]
Of these features [F21, F53], which are against the prediction?
29,920
3
C2
{'C1': '27.06%', 'C2': '72.94%'}
[ "F30", "F23", "F26", "F54", "F68", "F76", "F64", "F59", "F27", "F69", "F12", "F65", "F4", "F50", "F36", "F40", "F39" ]
[ "positive", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "positive", "positive", "negative" ]
[ "0.44", "-0.41", "0.39", "-0.38", "-0.31", "0.26", "0.24", "-0.21", "-0.21", "-0.20", "0.19", "0.18", "-0.17", "0.13", "0.11", "0.04", "-0.01" ]
What is the prediction for class C2?
72.94%
18,002
7
C2
{'C1': '42.66%', 'C2': '57.34%'}
[ "F67", "F3", "F30", "F8", "F16", "F66", "F25", "F75", "F2", "F6", "F50", "F62", "F36", "F57", "F79", "F48", "F76", "F68", "F52" ]
[ "negative", "positive", "negative", "positive", "positive", "positive", "negative", "positive", "negative", "positive", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "positive", "negative" ]
[ "-0.50", "0.46", "-0.44", "0.36", "0.36", "0.33", "-0.32", "0.31", "-0.28", "0.21", "0.13", "-0.12", "-0.09", "-0.09", "0.08", "-0.06", "-0.06", "0.02", "-0.02" ]
What is the value of F36?
-0.09
19,601
5
C2
{'C1': '47.69%', 'C2': '52.31%'}
[ "F72", "F50", "F58", "F42", "F33", "F56", "F63", "F20", "F45", "F19", "F23", "F15", "F43", "F47", "F68", "F12", "F17", "F73", "F48", "F49" ]
[ "negative", "negative", "positive", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "positive", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "positive" ]
[ "-0.46", "-0.42", "0.42", "-0.36", "-0.30", "0.30", "-0.30", "-0.25", "-0.24", "0.19", "-0.17", "0.17", "0.16", "0.15", "0.13", "0.09", "-0.09", "-0.09", "-0.02", "0.01" ]
Which features have an absolute value greater than 0.35?
F72, F50, F58, F42
24,490
4
C1
{'C1': '98.73%', 'C2': '1.27%'}
[ "F21", "F58", "F46", "F24", "F41", "F69", "F31", "F22", "F78" ]
[ "negative", "positive", "negative", "negative", "positive", "negative", "positive", "positive", "negligible" ]
[ "-0.38", "0.36", "-0.33", "-0.30", "0.26", "-0.25", "0.24", "0.01", "0.00" ]
Of these features [F22, F78, F69, F58, F41], which are against the prediction?
F69
12,614
3
C1
{'C1': '86.05%', 'C2': '13.95%'}
[ "F64", "F69", "F13", "F79", "F35", "F74", "F25", "F15", "F1", "F17", "F54", "F3", "F39", "F56", "F5", "F76", "F71", "F68", "F63", "F33" ]
[ "positive", "negative", "negative", "positive", "negative", "negative", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "positive" ]
[ "0.47", "-0.44", "-0.41", "0.40", "-0.40", "-0.39", "0.33", "-0.28", "0.26", "0.26", "-0.24", "-0.21", "0.17", "-0.16", "-0.14", "0.13", "0.09", "-0.02", "-0.01", "0.01" ]
What is the value of F15?
-0.28
1,073
5
C1
{'C1': '64.79%', 'C2': '35.21%'}
[ "F70", "F30", "F35", "F78", "F57", "F77", "F66", "F73", "F64", "F62", "F72", "F15", "F55", "F3", "F13", "F60", "F36" ]
[ "positive", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "positive", "negative", "negative", "positive", "negative", "negative", "positive" ]
[ "0.48", "0.47", "0.43", "-0.40", "-0.40", "-0.38", "-0.38", "-0.36", "-0.31", "-0.25", "0.24", "-0.19", "-0.16", "0.14", "-0.08", "-0.08", "0.07" ]
Which are the 2 least influential features?
F60, F36
24,300
6
C2
{'C1': '5.42%', 'C2': '94.58%'}
[ "F31", "F13", "F25", "F71", "F54", "F55", "F30", "F49", "F11", "F63", "F20", "F46" ]
[ "negative", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "negative" ]
[ "-0.46", "0.36", "0.35", "-0.27", "-0.27", "-0.24", "0.22", "0.16", "0.14", "0.13", "0.12", "-0.01" ]
Of these features [F54, F71, F25], which support the prediction?
F25
14,621
2
C2
{'C1': '6.82%', 'C2': '93.18%'}
[ "F61", "F11", "F73", "F64", "F34", "F20", "F65", "F18", "F19" ]
[ "negative", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "positive" ]
[ "-0.45", "-0.41", "-0.35", "0.27", "0.25", "-0.22", "-0.12", "0.05", "0.05" ]
What is the value of F73?
-0.35
15,877
5
C2
{'C1': '32.04%', 'C2': '67.96%'}
[ "F30", "F37", "F43", "F63", "F56", "F77", "F1", "F48", "F10", "F19", "F70", "F50", "F72", "F21", "F38" ]
[ "negative", "positive", "negative", "positive", "positive", "negative", "positive", "positive", "positive", "positive", "negative", "positive", "negative", "positive", "negative" ]
[ "-0.49", "0.45", "-0.41", "0.40", "0.27", "-0.24", "0.24", "0.23", "0.21", "0.20", "-0.13", "0.11", "-0.08", "0.05", "-0.02" ]
Of these features [F77, F38, F1, F19], which are against the prediction?
F77, F38
28,398
3
C2
{'C1': '10.56%', 'C2': '89.44%'}
[ "F24", "F27", "F23", "F3", "F54", "F37", "F58", "F17" ]
[ "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative" ]
[ "0.47", "0.38", "-0.31", "0.24", "-0.19", "-0.12", "-0.11", "-0.11" ]
Which are the 3 least influential features?
F37, F58, F17
7,715
6
C1
{'C1': '53.41%', 'C2': '46.59%'}
[ "F28", "F16", "F69", "F47", "F62", "F33", "F78", "F41", "F37", "F73", "F29", "F5", "F6", "F23", "F30", "F40", "F31", "F2" ]
[ "negative", "negative", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "negative" ]
[ "-0.46", "-0.39", "0.38", "0.35", "0.34", "0.34", "0.25", "0.23", "-0.21", "0.20", "-0.18", "-0.14", "0.12", "0.10", "0.08", "0.07", "-0.07", "-0.02" ]
Of these features [F47, F29, F28], which support the prediction?
F47
13,465
2
C2
{'C1': '14.16%', 'C2': '85.84%'}
[ "F28", "F26", "F27", "F34", "F61", "F72", "F37", "F53" ]
[ "negative", "negative", "negative", "positive", "negative", "positive", "negative", "negligible" ]
[ "-0.46", "-0.42", "-0.39", "0.32", "-0.14", "0.04", "-0.01", "0.00" ]
Of these features [F27, F26], which are against the prediction?
F27, F26
12,254
3
C1
{'C1': '65.33%', 'C2': '34.67%'}
[ "F10", "F17", "F75", "F45", "F4", "F61", "F35", "F66", "F65", "F18", "F71", "F47", "F49", "F59", "F62", "F29" ]
[ "positive", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "negative", "negative", "negative" ]
[ "0.50", "-0.43", "0.39", "-0.39", "0.37", "-0.34", "0.28", "-0.28", "-0.25", "-0.24", "-0.24", "0.22", "0.20", "-0.15", "-0.07", "-0.06" ]
What is the prediction for class C2?
34.67%
7,405
7
C1
{'C1': '60.57%', 'C2': '39.43%'}
[ "F79", "F17", "F64", "F30", "F27", "F62", "F48", "F15", "F63" ]
[ "positive", "negative", "negative", "negative", "positive", "negative", "negative", "positive", "positive" ]
[ "0.49", "-0.40", "-0.32", "-0.26", "0.25", "-0.25", "-0.23", "0.13", "0.11" ]
Which are the 3 least influential features?
F48, F15, F63
10,770
6
C2
{'C1': '2.87%', 'C2': '97.13%'}
[ "F46", "F29", "F31", "F38", "F48", "F34", "F26", "F20", "F55", "F44", "F14" ]
[ "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "positive" ]
[ "0.48", "0.47", "-0.46", "0.39", "-0.34", "-0.34", "-0.23", "-0.17", "0.16", "0.13", "0.06" ]
Which features have an absolute value greater than 0.31?
F46, F29, F31, F38, F48, F34
18,613
4
C1
{'C1': '87.22%', 'C2': '12.78%'}
[ "F21", "F60", "F12", "F11", "F38", "F17", "F75" ]
[ "positive", "negative", "negative", "negative", "negative", "negative", "negative" ]
[ "0.47", "-0.41", "-0.39", "-0.36", "-0.33", "-0.21", "-0.08" ]
Of these features [F60, F75, F12], which support the prediction?
11,510
2
C1
{'C1': '89.92%', 'C2': '10.08%'}
[ "F79", "F62", "F13", "F32", "F45", "F37", "F7", "F56", "F33", "F26", "F38" ]
[ "negative", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "negative", "positive", "negative" ]
[ "-0.43", "0.42", "0.39", "-0.38", "0.34", "0.25", "-0.21", "-0.15", "-0.07", "0.04", "-0.03" ]
Of the top 5 features, which are positive?
F62, F13, F45
29,064
0
C1
{'C1': '99.24%', 'C2': '0.76%'}
[ "F49", "F74", "F7", "F42", "F76", "F46", "F11", "F79", "F12", "F37", "F19", "F77", "F23", "F53", "F57", "F61", "F70", "F35", "F14" ]
[ "negative", "negative", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive" ]
[ "-0.50", "-0.50", "-0.44", "0.43", "-0.36", "-0.29", "-0.24", "-0.19", "0.18", "0.16", "-0.15", "-0.15", "0.13", "-0.12", "-0.10", "-0.10", "0.05", "0.04", "0.03" ]
Of these features [F49, F14, F19, F23], which support the prediction?
F14, F23
14,949
2
C2
{'C1': '10.25%', 'C2': '89.75%'}
[ "F54", "F15", "F12", "F74", "F76", "F49", "F32", "F33", "F5", "F43", "F30", "F61", "F23", "F28" ]
[ "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "negative", "negative", "negligible" ]
[ "0.42", "0.36", "0.35", "-0.34", "0.34", "0.32", "-0.29", "-0.27", "0.16", "0.09", "0.07", "-0.05", "-0.04", "0.00" ]
Of the top 3 features, which are positive?
F54, F15, F12
24,165
0
C1
{'C1': '96.13%', 'C2': '3.87%'}
[ "F47", "F26", "F16", "F76", "F66", "F10", "F8", "F65", "F31", "F41", "F37", "F39", "F44" ]
[ "positive", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative" ]
[ "0.49", "-0.47", "-0.25", "-0.25", "-0.23", "-0.23", "-0.22", "-0.18", "0.17", "0.09", "0.08", "-0.04", "-0.01" ]
Which are the 4 least influential features?
F41, F37, F39, F44
3,194
6
C2
{'C1': '6.08%', 'C2': '93.92%'}
[ "F53", "F64", "F55", "F76", "F46", "F56", "F37", "F33", "F63", "F38", "F3", "F34", "F58", "F39", "F18", "F19", "F49", "F32" ]
[ "negative", "positive", "positive", "negative", "negative", "positive", "positive", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "negligible", "negligible" ]
[ "-0.48", "0.40", "0.37", "-0.34", "-0.33", "0.29", "0.27", "-0.23", "0.14", "-0.11", "0.10", "-0.09", "0.05", "-0.03", "0.03", "-0.01", "0.00", "0.00" ]
Which features have an absolute value greater than 0.38?
F53, F64
26,401
4
C2
{'C1': '28.12%', 'C2': '71.88%'}
[ "F32", "F30", "F47", "F26", "F70", "F55", "F28" ]
[ "negative", "negative", "negative", "positive", "positive", "positive", "negative" ]
[ "-0.49", "-0.48", "-0.47", "0.44", "0.41", "0.24", "-0.15" ]
What is the value of F55?
0.24
17,386
5
C2
{'C1': '42.59%', 'C2': '57.41%'}
[ "F1", "F18", "F29", "F43", "F69", "F28", "F7", "F63", "F41", "F59", "F68", "F47", "F33", "F62", "F3", "F57", "F10" ]
[ "negative", "positive", "positive", "negative", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "negative", "positive", "positive", "positive", "negative" ]
[ "-0.50", "0.47", "0.45", "-0.42", "0.39", "-0.37", "0.36", "-0.36", "-0.35", "-0.33", "-0.28", "0.27", "-0.22", "0.20", "0.20", "0.13", "-0.03" ]
Of these features [F29, F59, F10, F43, F41], which support the prediction?
F29
8,693
2
C2
{'C1': '13.15%', 'C2': '86.85%'}
[ "F6", "F47", "F67", "F58", "F9", "F30", "F65" ]
[ "negative", "negative", "negative", "positive", "positive", "positive", "negative" ]
[ "-0.45", "-0.39", "-0.34", "0.19", "0.14", "0.12", "-0.08" ]
Which are the 5 least influential features?
F67, F58, F9, F30, F65
21,935
6
C2
{'C1': '21.91%', 'C2': '78.09%'}
[ "F25", "F19", "F5", "F77", "F18", "F36", "F52" ]
[ "negative", "negative", "negative", "negative", "negative", "positive", "negative" ]
[ "-0.50", "-0.50", "-0.33", "-0.29", "-0.17", "0.11", "-0.07" ]
Which features have an absolute value greater than 0.36?
F25, F19
9,324
4
C2
{'C1': '26.73%', 'C2': '73.27%'}
[ "F49", "F71", "F47", "F14", "F43", "F30", "F38", "F45", "F78", "F58", "F65" ]
[ "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "positive", "negative" ]
[ "-0.46", "0.44", "-0.43", "-0.39", "-0.27", "0.24", "0.14", "0.14", "-0.09", "0.08", "-0.06" ]
Of these features [F58, F38, F43, F49], which are against the prediction?
F43, F49
21,625
3
C2
{'C1': '32.25%', 'C2': '67.75%'}
[ "F28", "F70", "F75", "F3", "F12", "F72", "F76", "F79", "F49", "F54", "F20", "F44", "F15", "F66", "F11" ]
[ "negative", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive" ]
[ "-0.49", "-0.47", "-0.45", "-0.37", "0.33", "0.26", "0.20", "0.15", "0.14", "-0.14", "-0.06", "0.05", "-0.04", "-0.04", "0.01" ]
What is the prediction for class C2?
67.75%
3,488
7
C2
{'C1': '42.08%', 'C2': '57.92%'}
[ "F64", "F33", "F29", "F31", "F16", "F25", "F61", "F79", "F70", "F17", "F15", "F73", "F50", "F42", "F56", "F21", "F72", "F63" ]
[ "negative", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "positive" ]
[ "-0.50", "-0.47", "-0.44", "0.43", "0.39", "-0.35", "-0.34", "0.31", "-0.28", "-0.22", "0.14", "0.14", "-0.10", "-0.06", "-0.05", "-0.03", "-0.02", "0.01" ]
Of these features [F25, F73], which support the prediction?
F73
7,002
2
C1
{'C1': '50.02%', 'C2': '49.98%'}
[ "F40", "F58", "F63", "F72", "F30", "F75", "F24", "F52", "F77", "F25", "F64", "F35", "F14", "F55", "F46" ]
[ "negative", "positive", "negative", "positive", "positive", "negative", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "negative", "positive" ]
[ "-0.50", "0.43", "-0.41", "0.38", "0.37", "-0.36", "0.34", "0.34", "-0.29", "0.23", "0.23", "-0.21", "-0.20", "-0.08", "0.04" ]
Of the top 3 features, which are negative?
F40, F63
27,436
1
C2
{'C1': '15.45%', 'C2': '84.55%'}
[ "F8", "F75", "F15", "F7", "F41", "F57", "F16", "F61", "F70", "F68", "F49" ]
[ "negative", "negative", "positive", "positive", "positive", "negative", "positive", "positive", "positive", "negative", "negative" ]
[ "-0.48", "-0.43", "0.28", "0.28", "0.21", "-0.19", "0.14", "0.10", "0.07", "-0.07", "-0.02" ]
Of these features [F57, F41, F16], which support the prediction?
F41, F16
11,932
2
C2
{'C1': '21.98%', 'C2': '78.02%'}
[ "F44", "F28", "F39", "F43", "F2", "F30", "F27", "F55", "F21", "F51", "F72", "F32", "F20", "F18", "F29", "F17" ]
[ "negative", "positive", "positive", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "negative" ]
[ "-0.49", "0.47", "0.42", "0.41", "0.36", "0.31", "0.30", "0.25", "0.20", "-0.14", "0.14", "-0.13", "-0.08", "-0.04", "-0.02", "-0.02" ]
Which features have an absolute value greater than 0.36?
F44, F28, F39, F43
834
4
C2
{'C1': '41.19%', 'C2': '58.81%'}
[ "F78", "F29", "F13", "F54", "F72", "F26", "F69", "F28", "F22", "F3", "F60", "F64", "F33", "F59", "F30", "F23", "F2", "F43", "F46" ]
[ "positive", "positive", "positive", "negative", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "positive", "positive", "positive", "positive" ]
[ "0.49", "0.47", "0.46", "-0.39", "-0.38", "0.30", "-0.30", "0.28", "-0.27", "0.27", "-0.15", "-0.14", "0.14", "0.13", "-0.11", "0.11", "0.10", "0.02", "0.02" ]
Of the top 3 features, which are positive?
F78, F29, F13
25,948
0
C1
{'C1': '98.35%', 'C2': '1.65%'}
[ "F37", "F25", "F19", "F65", "F67", "F1", "F48", "F73", "F28", "F36", "F17", "F79", "F77" ]
[ "negative", "negative", "positive", "positive", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "positive" ]
[ "-0.50", "-0.46", "0.38", "0.34", "0.34", "0.33", "0.28", "0.26", "-0.19", "-0.16", "-0.11", "0.05", "0.05" ]
What is the prediction for class C2?
1.65%
14,149
7
C2
{'C1': '21.20%', 'C2': '78.80%'}
[ "F46", "F37", "F27", "F68", "F21", "F73", "F59" ]
[ "negative", "positive", "positive", "positive", "positive", "negative", "positive" ]
[ "-0.47", "0.33", "0.29", "0.25", "0.18", "-0.03", "0.01" ]
Of these features [F73, F21, F27, F37, F68], which are against the prediction?
F73
7,831
3
C2
{'C1': '49.23%', 'C2': '50.77%'}
[ "F7", "F13", "F58", "F5", "F65", "F32", "F62", "F25", "F44" ]
[ "positive", "positive", "negative", "positive", "negative", "positive", "positive", "positive", "negative" ]
[ "0.50", "0.48", "-0.37", "0.35", "-0.33", "0.29", "0.29", "0.22", "-0.08" ]
What is the prediction for class C2?
50.77%
12,943
7
C1
{'C1': '72.80%', 'C2': '27.20%'}
[ "F77", "F72", "F30", "F34", "F55", "F50", "F33", "F60", "F4", "F36", "F41", "F46", "F5", "F67", "F59", "F37", "F11", "F52", "F65", "F8" ]
[ "positive", "negative", "negative", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "negative", "positive", "negative", "positive", "positive" ]
[ "0.49", "-0.46", "-0.40", "-0.40", "-0.33", "0.32", "0.28", "-0.27", "-0.23", "-0.23", "-0.18", "-0.18", "-0.16", "-0.14", "-0.11", "-0.09", "0.05", "-0.04", "0.02", "0.02" ]
What is the prediction for class C2?
27.20%
12,624
7
C2
{'C1': '33.63%', 'C2': '66.37%'}
[ "F37", "F69", "F52", "F19", "F56", "F3", "F79", "F63", "F70", "F24", "F6", "F58", "F77", "F42", "F14" ]
[ "positive", "positive", "negative", "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "positive", "negative", "positive" ]
[ "0.49", "0.49", "-0.40", "0.33", "0.21", "0.16", "-0.14", "0.12", "0.10", "-0.10", "-0.08", "0.07", "0.05", "-0.04", "0.04" ]
What is the value of F3?
0.16
25,469
5
C2
{'C1': '30.66%', 'C2': '69.34%'}
[ "F76", "F43", "F2", "F63", "F47", "F44", "F75", "F15", "F73", "F77" ]
[ "positive", "negative", "negative", "negative", "negative", "negative", "positive", "negative", "positive", "positive" ]
[ "0.46", "-0.41", "-0.36", "-0.36", "-0.25", "-0.14", "0.06", "-0.04", "0.03", "0.02" ]
Of the top 5 features, which are positive?
F76
400
0
C2
{'C1': '37.43%', 'C2': '62.57%'}
[ "F5", "F43", "F9", "F2", "F31", "F38", "F60", "F19", "F76", "F71", "F50", "F66" ]
[ "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "positive" ]
[ "0.50", "-0.50", "-0.42", "0.35", "0.31", "0.30", "0.25", "-0.24", "0.16", "-0.15", "-0.12", "0.11" ]
Which are the 3 least influential features?
F71, F50, F66
20,638
6
C2
{'C1': '9.00%', 'C2': '91.00%'}
[ "F6", "F49", "F59", "F12", "F72", "F66", "F34", "F25", "F70", "F2", "F57", "F35", "F15", "F23", "F58", "F76", "F64", "F53", "F78" ]
[ "negative", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "positive", "positive", "negative", "positive", "negative", "positive" ]
[ "-0.50", "-0.50", "0.49", "-0.49", "-0.47", "-0.46", "0.41", "0.40", "0.33", "0.31", "0.30", "-0.28", "0.27", "0.27", "0.24", "-0.07", "0.05", "-0.04", "0.01" ]
What is the prediction for class C2?
91.00%
49
7
C2
{'C1': '0.50%', 'C2': '99.50%'}
[ "F33", "F25", "F37", "F76", "F34", "F28", "F77", "F1", "F75", "F46", "F21", "F44", "F61", "F57", "F43", "F8", "F17", "F11", "F5" ]
[ "negative", "positive", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "positive", "negative", "positive" ]
[ "-0.40", "0.40", "0.39", "-0.38", "-0.34", "0.32", "0.24", "-0.23", "-0.23", "0.14", "0.13", "0.12", "-0.12", "0.11", "-0.09", "-0.08", "0.07", "-0.06", "0.06" ]
Of these features [F21, F77, F34], which are against the prediction?
F34
11,210
3
C1
{'C1': '59.98%', 'C2': '40.02%'}
[ "F18", "F25", "F43", "F29", "F5", "F67", "F46", "F73", "F15", "F11", "F64", "F47", "F38", "F22", "F13", "F2", "F26", "F4", "F8" ]
[ "negative", "positive", "positive", "positive", "positive", "negative", "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "negative" ]
[ "-0.41", "0.41", "0.37", "0.35", "0.33", "-0.33", "0.31", "0.31", "0.28", "-0.26", "0.25", "0.19", "-0.19", "-0.16", "0.15", "-0.13", "-0.10", "0.09", "-0.05" ]
What is the value of F43?
0.37
4,345
5
C1
{'C1': '78.68%', 'C2': '21.32%'}
[ "F69", "F18", "F37", "F33", "F1", "F67", "F76", "F36", "F26", "F71" ]
[ "negative", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "positive" ]
[ "-0.50", "-0.50", "0.45", "-0.38", "-0.35", "-0.23", "0.17", "-0.08", "-0.03", "0.01" ]
What is the prediction for class C1?
78.68%
15,043
7
C1
{'C1': '69.02%', 'C2': '30.98%'}
[ "F50", "F25", "F56", "F26", "F34", "F24", "F6", "F66", "F79", "F21", "F78", "F17", "F36", "F44", "F7" ]
[ "positive", "positive", "positive", "negative", "positive", "positive", "positive", "negative", "negative", "positive", "negative", "positive", "negative", "positive", "negative" ]
[ "0.48", "0.47", "0.45", "-0.31", "0.26", "0.25", "0.24", "-0.17", "-0.13", "0.13", "-0.13", "0.11", "-0.09", "0.04", "-0.03" ]
Of these features [F79, F44, F25, F17], which support the prediction?
F44, F25, F17
13,960
2
C2
{'C1': '8.74%', 'C2': '91.26%'}
[ "F6", "F75", "F70", "F7", "F68", "F3" ]
[ "negative", "positive", "negative", "positive", "negative", "positive" ]
[ "-0.43", "0.36", "-0.33", "0.33", "-0.29", "0.04" ]
What is the value of F68?
-0.29
18,303
5
C2
{'C1': '0.92%', 'C2': '99.08%'}
[ "F67", "F75", "F14", "F50", "F35", "F45", "F65", "F57", "F8", "F21", "F9", "F18", "F40", "F30" ]
[ "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "positive" ]
[ "-0.43", "0.42", "-0.40", "-0.38", "0.34", "0.33", "-0.26", "-0.21", "-0.20", "0.20", "0.20", "0.16", "-0.10", "0.03" ]
Of these features [F40, F57, F75], which support the prediction?
F75
7,108
2
C1
{'C1': '70.65%', 'C2': '29.35%'}
[ "F12", "F23", "F13", "F32", "F11", "F61", "F67", "F72" ]
[ "negative", "positive", "negative", "positive", "positive", "negative", "positive", "negative" ]
[ "-0.49", "0.46", "-0.34", "0.25", "0.20", "-0.15", "0.10", "-0.09" ]
Of the top 5 features, which are positive?
F23, F32, F11
24,954
0
C1
{'C1': '67.08%', 'C2': '32.92%'}
[ "F27", "F12", "F26", "F29", "F15", "F20", "F44", "F60", "F32", "F78", "F37", "F42", "F75" ]
[ "negative", "negative", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "positive" ]
[ "-0.48", "-0.42", "-0.33", "-0.29", "0.21", "0.21", "-0.17", "-0.08", "0.08", "-0.07", "-0.05", "0.05", "0.01" ]
What is the value of F32?
0.08
14,581
5
C1
{'C1': '97.90%', 'C2': '2.10%'}
[ "F73", "F20", "F49", "F64", "F16", "F43", "F55", "F44", "F78", "F68" ]
[ "negative", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "positive" ]
[ "-0.49", "0.38", "-0.31", "-0.28", "-0.27", "0.26", "0.22", "-0.19", "0.13", "0.03" ]
Of these features [F64, F20, F44], which support the prediction?
F20
15,564
2
C1
{'C1': '77.80%', 'C2': '22.20%'}
[ "F30", "F12", "F6", "F15", "F21", "F43", "F4", "F56", "F50", "F11", "F9", "F79" ]
[ "negative", "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "positive" ]
[ "-0.44", "0.44", "0.27", "0.26", "-0.24", "0.22", "0.15", "-0.14", "-0.12", "-0.11", "-0.07", "0.03" ]
Which are the 4 least influential features?
F50, F11, F9, F79
10,984
6
C2
{'C1': '39.67%', 'C2': '60.33%'}
[ "F11", "F56", "F79", "F69", "F20", "F25", "F35", "F23" ]
[ "positive", "positive", "positive", "negative", "positive", "negative", "negative", "negative" ]
[ "0.49", "0.48", "0.38", "-0.17", "0.16", "-0.15", "-0.12", "-0.12" ]
What is the value of F35?
-0.12
12,996
5
C1
{'C1': '92.08%', 'C2': '7.92%'}
[ "F64", "F41", "F43", "F34", "F62", "F66", "F8", "F17", "F69", "F47", "F36", "F59", "F25", "F19", "F1", "F20", "F60", "F78", "F39", "F37" ]
[ "positive", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "positive", "positive" ]
[ "0.49", "-0.47", "0.44", "0.42", "-0.38", "-0.36", "-0.35", "-0.35", "0.32", "0.27", "0.26", "-0.24", "-0.22", "-0.21", "0.20", "0.19", "-0.14", "0.07", "0.05", "0.01" ]
What is the prediction for class C1?
92.08%
5,963
7
C1
{'C1': '97.51%', 'C2': '2.49%'}
[ "F14", "F22", "F28", "F40", "F58", "F2", "F32", "F15", "F68", "F10", "F39", "F27", "F20", "F21", "F51", "F7" ]
[ "negative", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "negative", "positive", "positive", "positive" ]
[ "-0.48", "-0.43", "0.41", "-0.41", "-0.40", "0.39", "0.39", "-0.35", "-0.31", "-0.30", "-0.24", "-0.17", "-0.15", "0.10", "0.08", "0.04" ]
Which features have an absolute value greater than 0.3?
F14, F22, F28, F40, F58, F2, F32, F15, F68
21,341
4
C2
{'C1': '4.11%', 'C2': '95.89%'}
[ "F69", "F78", "F67", "F53", "F37", "F44", "F70", "F43", "F51", "F47", "F4", "F60", "F31", "F75", "F22", "F11", "F65" ]
[ "negative", "negative", "positive", "negative", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "positive", "positive" ]
[ "-0.48", "-0.41", "0.38", "-0.38", "0.36", "0.35", "0.28", "0.28", "-0.27", "-0.26", "-0.20", "0.17", "0.12", "-0.11", "0.11", "0.10", "0.02" ]
Of the top 4 features, which are negative?
F69, F78, F53
3,347
1
C2
{'C1': '28.73%', 'C2': '71.27%'}
[ "F40", "F1", "F54", "F2", "F32", "F27", "F9", "F30", "F66", "F20", "F6", "F51", "F7", "F37", "F17", "F8", "F76", "F64", "F60" ]
[ "negative", "negative", "positive", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "positive", "negative", "negative", "negative", "negative", "negative", "positive", "negligible" ]
[ "-0.47", "-0.46", "0.45", "-0.37", "0.35", "-0.34", "-0.30", "-0.29", "0.28", "-0.27", "-0.27", "0.25", "-0.24", "-0.19", "-0.09", "-0.03", "-0.01", "0.01", "0.00" ]
What is the value of F32?
0.35
22,937
5
C1
{'C1': '78.66%', 'C2': '21.34%'}
[ "F70", "F61", "F65", "F66", "F72", "F1", "F24", "F34" ]
[ "negative", "negative", "negative", "negative", "positive", "negative", "negative", "positive" ]
[ "-0.48", "-0.46", "-0.45", "-0.43", "0.39", "-0.39", "-0.22", "0.06" ]
Which are the 5 least influential features?
F66, F72, F1, F24, F34
9,037
6
C1
{'C1': '72.53%', 'C2': '27.47%'}
[ "F63", "F55", "F33", "F76", "F15", "F3", "F59", "F74", "F44", "F31", "F34" ]
[ "positive", "positive", "negative", "negative", "positive", "negative", "positive", "positive", "negative", "positive", "negative" ]
[ "0.42", "0.40", "-0.37", "-0.33", "0.27", "-0.24", "0.23", "0.19", "-0.15", "0.10", "-0.02" ]
Of the top 5 features, which are positive?
F63, F55, F15
11,205
0
C1
{'C1': '90.22%', 'C2': '9.78%'}
[ "F66", "F70", "F11", "F19", "F16", "F67", "F38", "F63", "F18", "F73", "F26", "F40", "F14", "F17", "F37", "F1", "F6" ]
[ "negative", "negative", "positive", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "negative", "positive", "positive", "negative", "negative" ]
[ "-0.47", "-0.41", "0.39", "0.33", "0.30", "-0.30", "-0.29", "0.26", "0.23", "0.21", "0.12", "-0.08", "-0.06", "0.05", "0.04", "-0.03", "-0.03" ]
Which are the 4 least influential features?
F17, F37, F1, F6
26,559
6
C1
{'C1': '94.19%', 'C2': '5.81%'}
[ "F49", "F23", "F48", "F4", "F30", "F45", "F6", "F22", "F9", "F18", "F53", "F62", "F27", "F31", "F56" ]
[ "positive", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "positive" ]
[ "0.50", "-0.44", "0.43", "0.43", "-0.41", "-0.34", "-0.30", "-0.29", "0.23", "-0.20", "-0.15", "-0.14", "0.11", "-0.02", "0.02" ]
Of these features [F62, F48, F53], which are against the prediction?
F62, F53
8,350
3
C1
{'C1': '91.55%', 'C2': '8.45%'}
[ "F59", "F47", "F70", "F20", "F39", "F65", "F5", "F19", "F15", "F45", "F53", "F4", "F1", "F60", "F67", "F2" ]
[ "negative", "negative", "negative", "positive", "positive", "positive", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "positive", "negative", "negative" ]
[ "-0.50", "-0.45", "-0.44", "0.39", "0.36", "0.31", "-0.27", "0.26", "0.25", "-0.25", "-0.17", "-0.14", "-0.11", "0.11", "-0.08", "-0.01" ]
Of the top 5 features, which are positive?
F20, F39
3,634
0
C2
{'C1': '12.98%', 'C2': '87.02%'}
[ "F52", "F19", "F55", "F76", "F79", "F53", "F54", "F71", "F66", "F21", "F6", "F8", "F23", "F45" ]
[ "negative", "negative", "negative", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "negligible" ]
[ "-0.49", "-0.40", "-0.37", "0.37", "0.35", "-0.33", "0.32", "-0.30", "-0.25", "-0.21", "0.13", "0.12", "0.07", "0.00" ]
Of these features [F53, F66, F8], which are against the prediction?
F53, F66
20,040
3
C1
{'C1': '94.25%', 'C2': '5.75%'}
[ "F13", "F18", "F44", "F34", "F50", "F6", "F76", "F54", "F62", "F43" ]
[ "positive", "negative", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive" ]
[ "0.39", "-0.29", "-0.29", "0.29", "-0.18", "-0.10", "-0.09", "-0.04", "0.03", "0.03" ]
Of these features [F62, F6, F50, F76, F34], which are against the prediction?
F6, F50, F76
16,572
3
C2
{'C1': '43.79%', 'C2': '56.21%'}
[ "F10", "F17", "F4", "F22", "F45", "F11", "F9", "F30", "F23", "F74", "F63", "F44", "F8", "F78", "F65", "F24" ]
[ "negative", "negative", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "positive" ]
[ "-0.47", "-0.42", "0.41", "-0.30", "-0.26", "0.25", "-0.22", "-0.21", "0.12", "-0.11", "0.09", "-0.07", "-0.06", "0.05", "0.02", "0.01" ]
What is the prediction for class C1?
43.79%
18,958
7
C1
{'C1': '79.21%', 'C2': '20.79%'}
[ "F17", "F63", "F65", "F66", "F57", "F42", "F76", "F36", "F61", "F40", "F20" ]
[ "negative", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative", "positive", "negative" ]
[ "-0.50", "-0.46", "-0.38", "-0.38", "0.37", "0.36", "0.32", "-0.15", "-0.14", "0.09", "-0.07" ]
Of the top 5 features, which are negative?
F17, F63, F65, F66
22,605
1
C1
{'C1': '75.37%', 'C2': '24.63%'}
[ "F9", "F15", "F18", "F42", "F10", "F32", "F52", "F33", "F22", "F51", "F49", "F20", "F30", "F76", "F44", "F60" ]
[ "positive", "negative", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "negative", "positive" ]
[ "0.44", "-0.43", "-0.41", "-0.38", "-0.31", "0.28", "0.25", "-0.23", "0.18", "-0.14", "-0.12", "-0.08", "-0.07", "0.05", "-0.04", "0.02" ]
Of these features [F22, F20, F15], which support the prediction?
F22
27,599
2
C1
{'C1': '50.56%', 'C2': '49.44%'}
[ "F74", "F1", "F77", "F52", "F33", "F11", "F71" ]
[ "positive", "negative", "negative", "positive", "positive", "negative", "positive" ]
[ "0.46", "-0.41", "-0.32", "0.18", "0.16", "-0.10", "0.01" ]
Of these features [F1, F71, F33], which support the prediction?
F71, F33
26,849
2
C2
{'C1': '13.78%', 'C2': '86.22%'}
[ "F44", "F79", "F33", "F59", "F16", "F39", "F3", "F26", "F40", "F27", "F51", "F46" ]
[ "negative", "positive", "positive", "negative", "positive", "positive", "positive", "positive", "positive", "positive", "positive", "negligible" ]
[ "-0.47", "0.37", "0.35", "-0.32", "0.30", "0.29", "0.26", "0.23", "0.19", "0.14", "0.11", "0.00" ]
Of these features [F79, F3], which are against the prediction?
12,024
3
C2
{'C1': '40.56%', 'C2': '59.44%'}
[ "F29", "F22", "F58", "F50", "F51", "F61", "F47", "F1", "F26", "F62", "F65", "F74", "F69", "F55", "F73" ]
[ "negative", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative" ]
[ "-0.46", "-0.43", "-0.41", "0.40", "0.34", "-0.32", "-0.31", "-0.30", "-0.25", "-0.16", "0.15", "0.13", "0.12", "-0.09", "-0.04" ]
Of these features [F58, F55], which are against the prediction?
F58, F55
13,988
3
C2
{'C1': '43.86%', 'C2': '56.14%'}
[ "F26", "F40", "F29", "F16", "F69", "F1", "F8", "F67", "F72", "F13", "F51", "F73", "F43", "F14", "F50", "F58" ]
[ "negative", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative" ]
[ "-0.50", "0.45", "-0.33", "-0.32", "0.31", "0.29", "0.28", "0.23", "-0.22", "-0.22", "-0.21", "0.14", "0.10", "0.08", "-0.05", "-0.01" ]
Of these features [F58, F69, F51], which support the prediction?
F69
10,550
2
C2
{'C1': '37.20%', 'C2': '62.80%'}
[ "F55", "F34", "F17", "F52", "F51", "F45", "F73", "F50", "F29", "F53", "F39", "F78", "F21", "F44", "F57", "F2", "F30" ]
[ "positive", "negative", "positive", "negative", "negative", "positive", "negative", "negative", "positive", "negative", "positive", "positive", "negative", "positive", "positive", "negative", "positive" ]
[ "0.50", "-0.45", "0.44", "-0.43", "-0.41", "0.37", "-0.32", "-0.31", "0.27", "-0.21", "0.20", "0.15", "-0.13", "0.08", "0.08", "-0.04", "0.03" ]
Which are the 4 least influential features?
F44, F57, F2, F30
26,857
6
C2
{'C1': '33.70%', 'C2': '66.30%'}
[ "F16", "F70", "F50", "F24", "F79", "F72" ]
[ "negative", "negative", "positive", "positive", "positive", "negative" ]
[ "-0.41", "-0.36", "0.34", "0.22", "0.18", "-0.13" ]
Which features have an absolute value greater than 0.35?
F16, F70
19,567
4
C1
{'C1': '62.07%', 'C2': '37.93%'}
[ "F4", "F40", "F73", "F24", "F59", "F64", "F35", "F62" ]
[ "positive", "positive", "positive", "negative", "positive", "negative", "negative", "positive" ]
[ "0.50", "0.45", "0.44", "-0.32", "0.29", "-0.28", "-0.22", "0.09" ]
Of the top 3 features, which are positive?
F4, F40, F73
16,874
0
C2
{'C1': '18.79%', 'C2': '81.21%'}
[ "F55", "F58", "F11", "F72", "F18", "F35", "F9", "F70", "F57", "F78", "F24", "F59", "F19", "F50", "F12", "F52", "F56", "F34", "F27", "F76" ]
[ "positive", "negative", "positive", "negative", "positive", "positive", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negligible" ]
[ "0.48", "-0.47", "0.47", "-0.46", "0.45", "0.39", "-0.34", "0.33", "-0.25", "0.23", "-0.22", "0.21", "-0.18", "-0.12", "0.10", "0.05", "-0.04", "-0.03", "-0.02", "0.00" ]
Which are the 2 least influential features?
F27, F76
19,150
6
C1
{'C1': '72.98%', 'C2': '27.02%'}
[ "F29", "F43", "F45", "F48", "F49", "F59", "F23", "F55", "F17", "F73" ]
[ "positive", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "positive" ]
[ "0.36", "0.33", "-0.32", "-0.30", "-0.28", "0.25", "0.17", "0.09", "-0.02", "0.01" ]
Of the top 2 features, which are positive?
F29, F43
8,926
0
C1
{'C1': '63.88%', 'C2': '36.12%'}
[ "F15", "F71", "F10", "F72", "F6", "F54", "F76", "F77", "F59", "F62", "F65", "F56", "F52", "F18", "F44", "F66" ]
[ "positive", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "negligible" ]
[ "0.44", "0.42", "0.39", "0.38", "-0.36", "0.35", "-0.25", "-0.21", "-0.19", "0.15", "-0.15", "-0.11", "-0.08", "0.08", "0.05", "0.00" ]
What is the prediction for class C2?
36.12%
23,539
7
C1
{'C1': '64.34%', 'C2': '35.66%'}
[ "F52", "F41", "F51", "F62", "F36", "F65", "F33", "F70", "F7" ]
[ "negative", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "negative" ]
[ "-0.45", "0.42", "-0.39", "0.17", "-0.17", "-0.16", "0.13", "0.07", "-0.04" ]
Which are the 4 least influential features?
F65, F33, F70, F7
13,472
6
C1
{'C1': '63.98%', 'C2': '36.02%'}
[ "F66", "F57", "F9", "F6", "F16", "F37", "F45", "F79", "F60", "F53", "F72", "F17", "F5", "F76", "F71", "F15", "F8", "F21" ]
[ "positive", "positive", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "positive", "negative", "positive", "positive", "negligible" ]
[ "0.47", "0.44", "-0.44", "-0.43", "0.42", "-0.40", "-0.39", "-0.39", "0.35", "0.31", "0.28", "0.27", "-0.27", "0.26", "-0.24", "0.08", "0.01", "0.00" ]
Which are the 5 least influential features?
F76, F71, F15, F8, F21
9,330
6
C1
{'C1': '54.90%', 'C2': '45.10%'}
[ "F23", "F50", "F18", "F78", "F63", "F58", "F10", "F54", "F13", "F9", "F34", "F12", "F48", "F4", "F22", "F5", "F45", "F36" ]
[ "positive", "positive", "positive", "positive", "negative", "positive", "negative", "positive", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "positive", "positive" ]
[ "0.50", "0.49", "0.46", "0.43", "-0.42", "0.39", "-0.38", "0.38", "-0.35", "0.31", "-0.26", "-0.24", "-0.21", "0.18", "0.13", "-0.09", "0.09", "0.08" ]
Which are the 5 least influential features?
F4, F22, F5, F45, F36
6,057
6
C2
{'C1': '12.34%', 'C2': '87.66%'}
[ "F12", "F38", "F67", "F6", "F73", "F11", "F57" ]
[ "positive", "negative", "positive", "positive", "positive", "negative", "positive" ]
[ "0.46", "-0.40", "0.38", "0.33", "0.29", "-0.29", "0.24" ]
Which are the 5 least influential features?
F67, F6, F73, F11, F57
21,784
6
C1
{'C1': '55.46%', 'C2': '44.54%'}
[ "F77", "F25", "F46", "F57", "F54", "F8", "F4", "F7", "F20", "F56", "F51", "F66", "F59" ]
[ "positive", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "negative", "negative", "positive", "negative", "positive" ]
[ "0.45", "-0.45", "-0.42", "0.36", "0.34", "0.33", "0.27", "0.27", "-0.21", "-0.20", "0.18", "-0.09", "0.01" ]
What is the prediction for class C1?
55.46%
4,344
7
C1
{'C1': '65.18%', 'C2': '34.82%'}
[ "F13", "F75", "F66", "F52", "F33", "F45", "F24", "F53", "F11", "F25", "F4", "F3", "F72", "F62", "F42" ]
[ "positive", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative" ]
[ "0.50", "0.50", "-0.42", "0.36", "-0.35", "-0.34", "0.33", "0.30", "-0.30", "-0.28", "0.15", "0.09", "0.05", "0.02", "-0.01" ]
Which are the 5 least influential features?
F4, F3, F72, F62, F42
20,414
6
C2
{'C1': '23.05%', 'C2': '76.95%'}
[ "F47", "F38", "F77", "F68", "F36", "F9", "F1", "F49", "F61", "F29", "F46", "F4", "F63", "F66", "F8", "F42", "F58" ]
[ "positive", "negative", "positive", "positive", "negative", "negative", "negative", "positive", "negative", "negative", "negative", "positive", "positive", "negative", "negative", "negative", "negative" ]
[ "0.48", "-0.42", "0.42", "0.38", "-0.38", "-0.31", "-0.25", "0.21", "-0.21", "-0.20", "-0.20", "0.16", "0.15", "-0.13", "-0.13", "-0.11", "-0.11" ]
What is the prediction for class C2?
76.95%
19,829
7
C1
{'C1': '82.09%', 'C2': '17.91%'}
[ "F46", "F51", "F67", "F66", "F38", "F61", "F12", "F39", "F7", "F58", "F29", "F31", "F68", "F28", "F14", "F52", "F4", "F16", "F50" ]
[ "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "negative", "positive", "negative", "positive", "negative", "negative", "positive", "negative", "positive", "negative", "positive" ]
[ "0.50", "0.45", "-0.43", "0.42", "-0.42", "-0.41", "-0.38", "-0.33", "-0.32", "0.30", "-0.29", "0.27", "-0.23", "-0.21", "0.16", "-0.12", "0.08", "-0.07", "0.01" ]
What is the prediction for class C1?
82.09%
17,994
7
C2
{'C1': '10.87%', 'C2': '89.13%'}
[ "F26", "F33", "F7", "F45", "F71", "F6", "F29", "F56", "F42", "F32", "F78", "F4", "F12", "F20", "F11", "F54", "F55", "F1", "F35" ]
[ "positive", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "negative", "negative", "positive", "negative" ]
[ "0.49", "0.48", "0.44", "-0.40", "-0.35", "0.29", "0.26", "0.25", "-0.24", "0.20", "-0.19", "-0.17", "-0.17", "-0.16", "0.16", "-0.05", "-0.04", "0.03", "-0.01" ]
Which are the 2 least influential features?
F1, F35
19,790
6
C1
{'C1': '73.30%', 'C2': '26.70%'}
[ "F52", "F55", "F30", "F34", "F16", "F10", "F32", "F17", "F64", "F23", "F37", "F22", "F76" ]
[ "negative", "positive", "negative", "positive", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "positive" ]
[ "-0.50", "0.50", "-0.44", "0.34", "0.27", "-0.25", "-0.20", "0.14", "0.13", "0.10", "0.08", "0.06", "0.03" ]
What is the prediction for class C1?
73.30%
13,659
7
C2
{'C1': '49.15%', 'C2': '50.85%'}
[ "F22", "F6", "F4", "F37", "F51", "F49", "F62", "F45", "F9", "F79", "F35", "F33", "F61", "F41", "F78", "F47", "F20" ]
[ "negative", "negative", "positive", "positive", "negative", "positive", "negative", "negative", "negative", "negative", "positive", "positive", "positive", "negative", "negative", "negative", "positive" ]
[ "-0.48", "-0.48", "0.42", "0.36", "-0.30", "0.29", "-0.26", "-0.26", "-0.21", "-0.20", "0.19", "0.17", "0.14", "-0.12", "-0.11", "-0.05", "0.04" ]
Which are the 4 least influential features?
F41, F78, F47, F20
27,944
6
C2
{'C1': '35.52%', 'C2': '64.48%'}
[ "F66", "F31", "F19", "F29", "F23", "F46" ]
[ "positive", "positive", "positive", "positive", "positive", "negative" ]
[ "0.36", "0.36", "0.34", "0.33", "0.14", "-0.06" ]
Of the top 2 features, which are positive?
F66, F31
21,571
0
C2
{'C1': '12.04%', 'C2': '87.96%'}
[ "F44", "F34", "F62", "F8", "F6", "F11", "F19", "F74", "F52", "F71", "F68", "F40", "F54", "F28", "F57", "F12", "F36", "F38", "F9" ]
[ "positive", "positive", "positive", "positive", "negative", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "positive", "negative", "positive", "positive", "positive", "negative", "negative" ]
[ "0.50", "0.45", "0.41", "0.40", "-0.36", "0.34", "-0.32", "-0.30", "0.27", "0.21", "0.18", "0.12", "0.09", "-0.08", "0.08", "0.05", "0.05", "-0.01", "-0.01" ]
What is the prediction for class C1?
12.04%
25,246
7
C1
{'C1': '70.27%', 'C2': '29.73%'}
[ "F14", "F64", "F4", "F7", "F79", "F41", "F19", "F76", "F72", "F51", "F15" ]
[ "positive", "positive", "negative", "negative", "positive", "positive", "positive", "positive", "negative", "positive", "positive" ]
[ "0.48", "0.47", "-0.46", "-0.31", "0.12", "0.10", "0.09", "0.07", "-0.06", "0.03", "0.01" ]
Of these features [F72, F4], which are against the prediction?
F72, F4
24,305
3
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