10080246
1
Jan van Rijn
14
Supervised Classification
8815
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
8005221
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"entropy"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
8
8783
min_samples_split
5
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
41044
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21081028
description
https://api.openml.org/data/download/21081028/description.xml
-1
21081029
predictions
https://api.openml.org/data/download/21081029/predictions.arff
area_under_roc_curve
0.9247736111111111 [0.993943,0.883171,0.972046,0.936626,0.921004,0.940286,0.827154,0.966365,0.974922,0.832218]
average_cost
0
f_measure
0.7575442895881602 [0.962406,0.69378,0.912821,0.781991,0.732824,0.825641,0.47343,0.836634,0.926209,0.429708]
kappa
0.7305555555555555
kb_relative_information_score
1531.5022755637974
mean_absolute_error
0.05296247668997691
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7590537092252136 [0.964824,0.665138,0.936842,0.743243,0.746114,0.847368,0.457944,0.828431,0.943005,0.457627]
predictive_accuracy
0.7575
prior_entropy
3.321928094887362
recall
0.7575 [0.96,0.725,0.89,0.825,0.72,0.805,0.49,0.845,0.91,0.405]
relative_absolute_error
0.29423598161097375
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19351993623476504
root_relative_squared_error
0.6450664541158736
total_cost
0
area_under_roc_curve
0.9358611111111109 [1,0.951528,0.995556,0.964306,0.931806,0.943611,0.825278,0.965139,0.998333,0.783056]
area_under_roc_curve
0.9016111111111113 [0.971667,0.893889,0.919722,0.909306,0.800139,0.873333,0.8775,0.988889,0.948611,0.833056]
area_under_roc_curve
0.9190833333333334 [0.999444,0.873056,0.947917,0.877917,0.9825,0.991528,0.773056,0.922083,1,0.823333]
area_under_roc_curve
0.9206111111111112 [0.996667,0.846944,0.974028,0.987917,0.9475,0.910139,0.794028,0.966806,0.949167,0.832917]
area_under_roc_curve
0.9318333333333334 [1,0.865,0.971667,0.915417,0.958056,0.945694,0.859444,0.930972,0.99625,0.875833]
area_under_roc_curve
0.9418194444444444 [1,0.926944,0.999028,0.940694,0.925,0.936667,0.88375,0.988333,0.999028,0.81875]
area_under_roc_curve
0.9394583333333334 [0.999583,0.896806,0.947639,0.911806,0.983056,0.959028,0.882778,0.964583,0.975,0.874306]
area_under_roc_curve
0.9022777777777778 [0.974306,0.802778,0.997083,0.924444,0.847222,0.989722,0.75875,0.984028,0.920278,0.824167]
area_under_roc_curve
0.9423750000000001 [1,0.845556,0.999444,0.988611,0.928611,0.911111,0.858194,0.988333,0.999444,0.904444]
area_under_roc_curve
0.9148055555555555 [1,0.931667,0.970417,0.943333,0.910972,0.943333,0.762639,0.966111,0.965417,0.754167]
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
0.766730695143986 [0.930233,0.714286,0.894737,0.829268,0.780488,0.9,0.47619,0.842105,0.9,0.4]
f_measure
0.7215082027811526 [0.923077,0.651163,0.864865,0.790698,0.631579,0.702703,0.428571,0.820513,0.947368,0.454545]
f_measure
0.739235398850836 [0.947368,0.681818,0.918919,0.648649,0.808511,0.809524,0.378378,0.833333,0.97561,0.390244]
f_measure
0.7873059135864697 [0.95,0.684211,0.95,0.851064,0.727273,0.777778,0.585366,0.9,0.947368,0.5]
f_measure
0.7529337154990199 [0.97561,0.590909,0.918919,0.736842,0.742857,0.871795,0.55814,0.772727,0.9,0.461538]
f_measure
0.7508913703854229 [1,0.772727,0.926829,0.837209,0.647059,0.780488,0.461538,0.818182,0.952381,0.3125]
f_measure
0.772133279959367 [0.974359,0.695652,0.857143,0.75,0.8,0.809524,0.52381,0.85,0.974359,0.486486]
f_measure
0.7231541118497641 [0.95,0.648649,0.909091,0.695652,0.611111,0.923077,0.388889,0.75,0.833333,0.521739]
f_measure
0.7755068214771289 [0.974359,0.682927,0.974359,0.826087,0.769231,0.810811,0.5,0.878049,0.97561,0.363636]
f_measure
0.770511366311034 [1,0.820513,0.904762,0.829268,0.769231,0.864865,0.416667,0.904762,0.842105,0.352941]
kappa
0.7444444444444445
kappa
0.6833333333333333
kappa
0.7111111111111111
kappa
0.7666666666666667
kappa
0.7222222222222222
kappa
0.7388888888888889
kappa
0.7444444444444445
kappa
0.6944444444444444
kappa
0.7555555555555555
kappa
0.7444444444444445
kb_relative_information_score
155.74831378782676
kb_relative_information_score
142.77770183801942
kb_relative_information_score
152.53668734233915
kb_relative_information_score
156.28445727889832
kb_relative_information_score
154.79378695385626
kb_relative_information_score
153.355938520209
kb_relative_information_score
156.63226567316866
kb_relative_information_score
148.68162136518177
kb_relative_information_score
159.09828429386366
kb_relative_information_score
151.59321851045652
mean_absolute_error
0.05068464313464312
mean_absolute_error
0.06050335775335776
mean_absolute_error
0.05303380230880227
mean_absolute_error
0.049786890886890894
mean_absolute_error
0.05189574037074035
mean_absolute_error
0.05424195526695528
mean_absolute_error
0.050259229659229666
mean_absolute_error
0.05688465978465977
mean_absolute_error
0.04827716450216448
mean_absolute_error
0.05405732323232319
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
0.7677357425183513 [0.869565,0.681818,0.944444,0.809524,0.761905,0.9,0.454545,0.888889,0.9,0.466667]
precision
0.7335606366532467 [0.947368,0.608696,0.941176,0.73913,0.666667,0.764706,0.409091,0.842105,1,0.416667]
precision
0.7489911368587839 [1,0.625,1,0.705882,0.703704,0.772727,0.411765,0.9375,0.952381,0.380952]
precision
0.79385582010582 [0.95,0.722222,0.95,0.740741,0.666667,0.875,0.571429,0.9,1,0.5625]
precision
0.7636985579891757 [0.952381,0.541667,1,0.777778,0.866667,0.894737,0.521739,0.708333,0.9,0.473684]
precision
0.7492764767650351 [1,0.708333,0.904762,0.782609,0.785714,0.761905,0.473684,0.75,0.909091,0.416667]
precision
0.781752365281777 [1,0.615385,1,0.75,0.8,0.772727,0.5,0.85,1,0.529412]
precision
0.7326007184250218 [0.95,0.705882,0.833333,0.615385,0.6875,0.947368,0.4375,0.75,0.9375,0.461538]
precision
0.77986581272185 [1,0.666667,1,0.730769,0.789474,0.882353,0.458333,0.857143,0.952381,0.461538]
precision
0.7784155129356367 [1,0.842105,0.863636,0.809524,0.789474,0.941176,0.357143,0.863636,0.888889,0.428571]
predictive_accuracy
0.77
predictive_accuracy
0.715
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.765
predictive_accuracy
0.77
predictive_accuracy
0.725
predictive_accuracy
0.78
predictive_accuracy
0.77
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 [1,0.75,0.85,0.85,0.8,0.9,0.5,0.8,0.9,0.35]
recall
0.715 [0.9,0.7,0.8,0.85,0.6,0.65,0.45,0.8,0.9,0.5]
recall
0.74 [0.9,0.75,0.85,0.6,0.95,0.85,0.35,0.75,1,0.4]
recall
0.79 [0.95,0.65,0.95,1,0.8,0.7,0.6,0.9,0.9,0.45]
recall
0.75 [1,0.65,0.85,0.7,0.65,0.85,0.6,0.85,0.9,0.45]
recall
0.765 [1,0.85,0.95,0.9,0.55,0.8,0.45,0.9,1,0.25]
recall
0.77 [0.95,0.8,0.75,0.75,0.8,0.85,0.55,0.85,0.95,0.45]
recall
0.725 [0.95,0.6,1,0.8,0.55,0.9,0.35,0.75,0.75,0.6]
recall
0.78 [0.95,0.7,0.95,0.95,0.75,0.75,0.55,0.9,1,0.3]
recall
0.77 [1,0.8,0.95,0.85,0.75,0.8,0.5,0.95,0.8,0.3]
relative_absolute_error
0.2815813507480176
relative_absolute_error
0.33612976529643235
relative_absolute_error
0.2946322350489019
relative_absolute_error
0.27659383826050526
relative_absolute_error
0.2883096687263356
relative_absolute_error
0.3013441959275297
relative_absolute_error
0.27921794255127624
relative_absolute_error
0.31602588769255463
relative_absolute_error
0.26820646945646964
relative_absolute_error
0.3003184624017959
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
0.18754207821121555
root_mean_squared_error
0.2163691084422742
root_mean_squared_error
0.1958781617790337
root_mean_squared_error
0.18901346332299082
root_mean_squared_error
0.1909170057483807
root_mean_squared_error
0.1865875208825567
root_mean_squared_error
0.1860265660877668
root_mean_squared_error
0.20591166688489182
root_mean_squared_error
0.17912230578314736
root_mean_squared_error
0.19509789113182335
root_relative_squared_error
0.6251402607040522
root_relative_squared_error
0.7212303614742477
root_relative_squared_error
0.6529272059301127
root_relative_squared_error
0.6300448777433031
root_relative_squared_error
0.6363900191612692
root_relative_squared_error
0.6219584029418561
root_relative_squared_error
0.6200885536258898
root_relative_squared_error
0.6863722229496397
root_relative_squared_error
0.5970743526104916
root_relative_squared_error
0.6503263037727449
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
666.0972439985926
usercpu_time_millis
522.8383300000132
usercpu_time_millis
517.1142660001351
usercpu_time_millis
507.8104150006766
usercpu_time_millis
509.93414300046425
usercpu_time_millis
504.70996999956697
usercpu_time_millis
540.7650999995894
usercpu_time_millis
544.8753280006713
usercpu_time_millis
548.472159000994
usercpu_time_millis
534.2890930005524
usercpu_time_millis_testing
1.6155059993252507
usercpu_time_millis_testing
1.6438090005976846
usercpu_time_millis_testing
1.667823999923712
usercpu_time_millis_testing
1.630877000025066
usercpu_time_millis_testing
1.650707000408147
usercpu_time_millis_testing
1.6001280000637053
usercpu_time_millis_testing
1.6532649997316184
usercpu_time_millis_testing
1.7638300005273777
usercpu_time_millis_testing
1.695519000350032
usercpu_time_millis_testing
1.6716910004106467
usercpu_time_millis_training
664.4817379992674
usercpu_time_millis_training
521.1945209994155
usercpu_time_millis_training
515.4464420002114
usercpu_time_millis_training
506.1795380006515
usercpu_time_millis_training
508.2834360000561
usercpu_time_millis_training
503.10984199950326
usercpu_time_millis_training
539.1118349998578
usercpu_time_millis_training
543.1114980001439
usercpu_time_millis_training
546.776640000644
usercpu_time_millis_training
532.6174020001417