10154605
7789
Sarim Zafar
14
Supervised Classification
8945
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)
8080244
class_weight
null
8906
criterion
"gini"
8906
max_depth
null
8906
max_features
null
8906
max_leaf_nodes
null
8906
min_impurity_decrease
0.0
8906
min_impurity_split
null
8906
min_samples_leaf
1
8906
min_samples_split
2
8906
min_weight_fraction_leaf
0.0
8906
presort
false
8906
random_state
13758
8906
splitter
"best"
8906
memory
null
8945
copy
true
8946
fill_value
null
8946
missing_values
NaN
8946
strategy
"mean"
8946
verbose
0
8946
openml-python
Sklearn_0.20.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21229777
description
https://api.openml.org/data/download/21229777/description.xml
-1
21229778
predictions
https://api.openml.org/data/download/21229778/predictions.arff
area_under_roc_curve
0.8569444444444444 [0.989167,0.803889,0.923611,0.871667,0.818611,0.8975,0.717778,0.894722,0.956667,0.695833]
average_cost
0
f_measure
0.7433167987459047 [0.982456,0.663212,0.870886,0.766169,0.669975,0.817043,0.487685,0.797066,0.929293,0.449383]
kappa
0.7138888888888889
kb_relative_information_score
1461.4348923612204
mean_absolute_error
0.05150000000000046
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7444809073450593 [0.984925,0.688172,0.882051,0.762376,0.665025,0.819095,0.480583,0.779904,0.938776,0.443902]
predictive_accuracy
0.7425
prior_entropy
3.321928094887362
recall
0.7425 [0.98,0.64,0.86,0.77,0.675,0.815,0.495,0.815,0.92,0.455]
relative_absolute_error
0.2861111111111049
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.22693611435820535
root_relative_squared_error
0.7564537145273396
total_cost
0
area_under_roc_curve
0.8722222222222221 [0.975,0.922222,0.919444,0.916667,0.813889,0.916667,0.697222,0.844444,0.972222,0.744444]
area_under_roc_curve
0.8583333333333332 [0.972222,0.852778,0.872222,0.894444,0.763889,0.886111,0.691667,0.963889,0.947222,0.738889]
area_under_roc_curve
0.838888888888889 [1,0.833333,0.916667,0.811111,0.877778,0.841667,0.661111,0.816667,0.994444,0.636111]
area_under_roc_curve
0.8722222222222222 [0.975,0.747222,0.994444,0.919444,0.866667,0.911111,0.752778,0.858333,0.975,0.722222]
area_under_roc_curve
0.8388888888888891 [0.997222,0.738889,0.894444,0.830556,0.830556,0.836111,0.727778,0.875,0.966667,0.691667]
area_under_roc_curve
0.8944444444444444 [1,0.863889,0.994444,0.844444,0.886111,0.941667,0.825,0.888889,1,0.7]
area_under_roc_curve
0.861111111111111 [1,0.880556,0.872222,0.866667,0.761111,0.883333,0.744444,0.961111,0.972222,0.669444]
area_under_roc_curve
0.8333333333333333 [0.975,0.769444,0.916667,0.825,0.758333,0.938889,0.741667,0.866667,0.872222,0.669444]
area_under_roc_curve
0.8583333333333332 [1,0.694444,0.966667,0.927778,0.822222,0.897222,0.627778,0.936111,0.997222,0.713889]
area_under_roc_curve
0.8416666666666667 [0.997222,0.736111,0.888889,0.880556,0.805556,0.922222,0.708333,0.936111,0.869444,0.672222]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7711982311982313 [0.974359,0.75,0.871795,0.85,0.702703,0.85,0.461538,0.777778,0.95,0.52381]
f_measure
0.7477994492098741 [0.95,0.697674,0.833333,0.842105,0.628571,0.780488,0.439024,0.883721,0.923077,0.5]
f_measure
0.7115258980534975 [1,0.7,0.85,0.684211,0.727273,0.756757,0.380952,0.722222,0.952381,0.341463]
f_measure
0.7690055420582564 [0.974359,0.645161,0.952381,0.871795,0.666667,0.809524,0.564103,0.731707,0.974359,0.5]
f_measure
0.7070965885449009 [0.97561,0.588235,0.842105,0.682927,0.682927,0.717949,0.526316,0.711111,0.904762,0.439024]
f_measure
0.8082773085979345 [1,0.769231,0.952381,0.777778,0.780488,0.878049,0.651163,0.8,1,0.473684]
f_measure
0.7487711234773659 [1,0.744186,0.833333,0.789474,0.611111,0.761905,0.52381,0.863636,0.95,0.410256]
f_measure
0.7030090086454835 [0.974359,0.55814,0.85,0.651163,0.594595,0.857143,0.511628,0.789474,0.833333,0.410256]
f_measure
0.7352808948939411 [1,0.533333,0.904762,0.782609,0.636364,0.864865,0.352941,0.837209,0.97561,0.465116]
f_measure
0.7149478405302808 [0.97561,0.571429,0.8,0.744186,0.65,0.894737,0.444444,0.837209,0.810811,0.421053]
kappa
0.7444444444444445
kappa
0.7166666666666667
kappa
0.6777777777777777
kappa
0.7444444444444445
kappa
0.6777777777777777
kappa
0.788888888888889
kappa
0.7222222222222222
kappa
0.6666666666666666
kappa
0.7166666666666667
kappa
0.6833333333333333
kb_relative_information_score
151.89515543420927
kb_relative_information_score
146.66636798140587
kb_relative_information_score
139.34606554748115
kb_relative_information_score
151.89515543420927
kb_relative_information_score
139.34606554748115
kb_relative_information_score
160.26121535869456
kb_relative_information_score
147.71212547196654
kb_relative_information_score
137.2545505663598
kb_relative_information_score
146.66636798140587
kb_relative_information_score
140.39182303804182
mean_absolute_error
0.046
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.046
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.04999999999999998
mean_absolute_error
0.05999999999999995
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.05699999999999996
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.7800984077841663 [1,0.642857,0.894737,0.85,0.764706,0.85,0.473684,0.875,0.95,0.5]
precision
0.7584161036649594 [0.95,0.652174,0.9375,0.888889,0.733333,0.761905,0.428571,0.826087,0.947368,0.458333]
precision
0.71809789067142 [1,0.7,0.85,0.722222,0.666667,0.823529,0.363636,0.8125,0.909091,0.333333]
precision
0.7850307587149692 [1,0.909091,0.909091,0.894737,0.571429,0.772727,0.578947,0.714286,1,0.5]
precision
0.7113494341915394 [0.952381,0.714286,0.888889,0.666667,0.666667,0.736842,0.555556,0.64,0.863636,0.428571]
precision
0.8101307864522969 [1,0.789474,0.909091,0.875,0.761905,0.857143,0.608696,0.8,1,0.5]
precision
0.7543977532764718 [1,0.695652,0.9375,0.833333,0.6875,0.727273,0.5,0.791667,0.95,0.421053]
precision
0.7115822258797425 [1,0.521739,0.85,0.608696,0.647059,0.818182,0.478261,0.833333,0.9375,0.421053]
precision
0.7478797545165832 [1,0.8,0.863636,0.692308,0.583333,0.941176,0.428571,0.782609,0.952381,0.434783]
precision
0.7218550318678196 [0.952381,0.666667,0.8,0.695652,0.65,0.944444,0.4,0.782609,0.882353,0.444444]
predictive_accuracy
0.77
predictive_accuracy
0.745
predictive_accuracy
0.71
predictive_accuracy
0.77
predictive_accuracy
0.71
predictive_accuracy
0.81
predictive_accuracy
0.75
predictive_accuracy
0.7
predictive_accuracy
0.745
predictive_accuracy
0.715
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.77 [0.95,0.9,0.85,0.85,0.65,0.85,0.45,0.7,0.95,0.55]
recall
0.745 [0.95,0.75,0.75,0.8,0.55,0.8,0.45,0.95,0.9,0.55]
recall
0.71 [1,0.7,0.85,0.65,0.8,0.7,0.4,0.65,1,0.35]
recall
0.77 [0.95,0.5,1,0.85,0.8,0.85,0.55,0.75,0.95,0.5]
recall
0.71 [1,0.5,0.8,0.7,0.7,0.7,0.5,0.8,0.95,0.45]
recall
0.81 [1,0.75,1,0.7,0.8,0.9,0.7,0.8,1,0.45]
recall
0.75 [1,0.8,0.75,0.75,0.55,0.8,0.55,0.95,0.95,0.4]
recall
0.7 [0.95,0.6,0.85,0.7,0.55,0.9,0.55,0.75,0.75,0.4]
recall
0.745 [1,0.4,0.95,0.9,0.7,0.8,0.3,0.9,1,0.5]
recall
0.715 [1,0.5,0.8,0.8,0.65,0.85,0.5,0.9,0.75,0.4]
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.277777777777778
relative_absolute_error
0.3333333333333334
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.31666666666666676
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.2408318915758458
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.2408318915758458
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.22360679774997894
root_mean_squared_error
0.24494897427831772
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.23874672772626634
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.7453559924999302
root_relative_squared_error
0.8164965809277261
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.7958224257542216
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
126.27000000000521
usercpu_time_millis
120.32399999999654
usercpu_time_millis
122.3629999999929
usercpu_time_millis
123.04500000000473
usercpu_time_millis
122.76100000001122
usercpu_time_millis
121.27800000000377
usercpu_time_millis
125.38799999998673
usercpu_time_millis
117.75599999999997
usercpu_time_millis
125.3369999999876
usercpu_time_millis
118.89499999998066
usercpu_time_millis_testing
0.6770000000102527
usercpu_time_millis_testing
0.6389999999925067
usercpu_time_millis_testing
0.6459999999890442
usercpu_time_millis_testing
0.6460000000032551
usercpu_time_millis_testing
0.6489999999956808
usercpu_time_millis_testing
0.6520000000023174
usercpu_time_millis_testing
0.6429999999966185
usercpu_time_millis_testing
0.6669999999928677
usercpu_time_millis_testing
0.649999999993156
usercpu_time_millis_testing
0.644999999991569
usercpu_time_millis_training
125.59299999999496
usercpu_time_millis_training
119.68500000000404
usercpu_time_millis_training
121.71700000000385
usercpu_time_millis_training
122.39900000000148
usercpu_time_millis_training
122.11200000001554
usercpu_time_millis_training
120.62600000000145
usercpu_time_millis_training
124.74499999999011
usercpu_time_millis_training
117.0890000000071
usercpu_time_millis_training
124.68699999999444
usercpu_time_millis_training
118.24999999998909