10091958
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)
8017065
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
"gini"
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
14
8783
min_samples_split
6
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
61340
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
21104453
description
https://www.openml.org/data/download/21104453/description.xml
-1
21104454
predictions
https://www.openml.org/data/download/21104454/predictions.arff
area_under_roc_curve
0.9321773611111109 [0.994565,0.90356,0.946347,0.943744,0.881928,0.95939,0.872907,0.958456,0.984558,0.876318]
average_cost
0
f_measure
0.7365322351289636 [0.975369,0.653244,0.883249,0.785146,0.628272,0.785,0.5,0.78744,0.934726,0.432877]
kappa
0.7066666666666667
kb_relative_information_score
1464.3086224115084
mean_absolute_error
0.06295683389129135
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7413793673539072 [0.961165,0.591093,0.896907,0.836158,0.659341,0.785,0.465517,0.761682,0.978142,0.478788]
predictive_accuracy
0.736
prior_entropy
3.321928094887362
recall
0.736 [0.99,0.73,0.87,0.74,0.6,0.785,0.54,0.815,0.895,0.395]
relative_absolute_error
0.3497601882849411
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19689754217823263
root_relative_squared_error
0.6563251405940987
total_cost
0
area_under_roc_curve
0.933736111111111 [0.999167,0.921667,0.903472,0.959167,0.926806,0.996111,0.84,0.902222,0.995833,0.892917]
area_under_roc_curve
0.9241250000000001 [0.974444,0.912222,0.881667,0.98625,0.850972,0.932083,0.879028,0.955694,0.946944,0.921944]
area_under_roc_curve
0.8999583333333335 [1,0.874028,0.96125,0.906389,0.877222,0.934167,0.816944,0.830278,0.996806,0.8025]
area_under_roc_curve
0.9453194444444444 [1,0.849722,0.969583,0.984167,0.933333,0.990833,0.887917,0.979861,0.973194,0.884583]
area_under_roc_curve
0.9572222222222223 [0.999444,0.903889,0.996528,0.976111,0.953889,0.957222,0.911111,0.983194,0.997917,0.892917]
area_under_roc_curve
0.944763888888889 [1,0.911944,0.9975,0.909861,0.928611,0.981667,0.804583,0.989444,0.997639,0.926389]
area_under_roc_curve
0.910625 [0.999861,0.958472,0.8625,0.898333,0.78875,0.916944,0.918333,0.980417,0.996667,0.785972]
area_under_roc_curve
0.9315416666666665 [0.975,0.93,0.937778,0.935278,0.822083,0.991944,0.892639,0.989167,0.953611,0.887917]
area_under_roc_curve
0.9490972222222221 [1,0.872083,0.996111,0.981111,0.871944,0.935972,0.927917,0.982222,1,0.923611]
area_under_roc_curve
0.9268611111111111 [0.999861,0.89875,0.961944,0.906667,0.87875,0.96125,0.845,0.992083,0.976528,0.847778]
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
0.7574599177165307 [0.97561,0.68,0.829268,0.823529,0.666667,0.871795,0.55814,0.722222,0.947368,0.5]
f_measure
0.7395986172180309 [0.926829,0.744186,0.8,0.8,0.628571,0.790698,0.583333,0.8,0.947368,0.375]
f_measure
0.6865309936238917 [1,0.571429,0.918919,0.722222,0.608696,0.820513,0.391304,0.5625,0.97561,0.294118]
f_measure
0.7340023327802829 [1,0.585366,0.883721,0.780488,0.651163,0.777778,0.55,0.731707,0.947368,0.432432]
f_measure
0.7049616200780697 [0.97561,0.55,0.894737,0.789474,0.628571,0.714286,0.428571,0.77551,0.95,0.342857]
f_measure
0.7542802796974811 [0.97561,0.717949,0.952381,0.722222,0.666667,0.818182,0.454545,0.863636,0.947368,0.424242]
f_measure
0.7299919110500441 [0.97561,0.653061,0.833333,0.789474,0.606061,0.666667,0.540541,0.8,0.947368,0.487805]
f_measure
0.7581915104731095 [0.974359,0.608696,0.894737,0.809524,0.588235,0.810811,0.565217,0.909091,0.857143,0.564103]
f_measure
0.7668944099378883 [1,0.756757,0.952381,0.810811,0.628571,0.761905,0.432432,0.826087,1,0.5]
f_measure
0.7194183150057576 [0.952381,0.679245,0.864865,0.8,0.6,0.833333,0.489796,0.810811,0.810811,0.352941]
kappa
0.7277777777777777
kappa
0.7166666666666667
kappa
0.65
kappa
0.7055555555555556
kappa
0.6777777777777777
kappa
0.7333333333333334
kappa
0.7
kappa
0.7277777777777777
kappa
0.7444444444444445
kappa
0.6833333333333333
kb_relative_information_score
148.15655841109867
kb_relative_information_score
145.0047517659041
kb_relative_information_score
140.4752560252421
kb_relative_information_score
148.33109198787594
kb_relative_information_score
147.72173304175047
kb_relative_information_score
148.72840781254175
kb_relative_information_score
143.1103841217924
kb_relative_information_score
148.1354983743195
kb_relative_information_score
153.96306422030847
kb_relative_information_score
140.68187665068928
mean_absolute_error
0.060876244652195946
mean_absolute_error
0.06511260318088354
mean_absolute_error
0.0674818945476981
mean_absolute_error
0.0610945716326319
mean_absolute_error
0.06153489574756463
mean_absolute_error
0.06141537113356772
mean_absolute_error
0.06579990706910775
mean_absolute_error
0.06137703873812227
mean_absolute_error
0.055827343854975384
mean_absolute_error
0.06904846835616278
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
0.775641103747511 [0.952381,0.566667,0.809524,1,0.636364,0.894737,0.521739,0.8125,1,0.5625]
precision
0.7472877846790891 [0.904762,0.695652,0.8,0.8,0.733333,0.73913,0.5,0.8,1,0.5]
precision
0.7081503077986744 [1,0.482759,1,0.8125,0.538462,0.842105,0.346154,0.75,0.952381,0.357143]
precision
0.7377989891608818 [1,0.571429,0.826087,0.761905,0.608696,0.875,0.55,0.714286,1,0.470588]
precision
0.7109573568194258 [0.952381,0.55,0.944444,0.833333,0.733333,0.681818,0.409091,0.655172,0.95,0.4]
precision
0.7591819364845679 [0.952381,0.736842,0.909091,0.8125,0.684211,0.75,0.416667,0.791667,1,0.538462]
precision
0.7464958599547848 [0.952381,0.551724,0.9375,0.833333,0.769231,0.636364,0.588235,0.72,1,0.47619]
precision
0.7764552612849827 [1,0.538462,0.944444,0.772727,0.714286,0.882353,0.5,0.833333,1,0.578947]
precision
0.7735270122034826 [1,0.823529,0.909091,0.882353,0.733333,0.727273,0.470588,0.730769,1,0.458333]
precision
0.747362567283967 [0.909091,0.545455,0.941176,0.933333,0.6,0.9375,0.413793,0.882353,0.882353,0.428571]
predictive_accuracy
0.755
predictive_accuracy
0.745
predictive_accuracy
0.685
predictive_accuracy
0.735
predictive_accuracy
0.71
predictive_accuracy
0.76
predictive_accuracy
0.73
predictive_accuracy
0.755
predictive_accuracy
0.77
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
0.755 [1,0.85,0.85,0.7,0.7,0.85,0.6,0.65,0.9,0.45]
recall
0.745 [0.95,0.8,0.8,0.8,0.55,0.85,0.7,0.8,0.9,0.3]
recall
0.685 [1,0.7,0.85,0.65,0.7,0.8,0.45,0.45,1,0.25]
recall
0.735 [1,0.6,0.95,0.8,0.7,0.7,0.55,0.75,0.9,0.4]
recall
0.71 [1,0.55,0.85,0.75,0.55,0.75,0.45,0.95,0.95,0.3]
recall
0.76 [1,0.7,1,0.65,0.65,0.9,0.5,0.95,0.9,0.35]
recall
0.73 [1,0.8,0.75,0.75,0.5,0.7,0.5,0.9,0.9,0.5]
recall
0.755 [0.95,0.7,0.85,0.85,0.5,0.75,0.65,1,0.75,0.55]
recall
0.77 [1,0.7,1,0.75,0.55,0.8,0.4,0.95,1,0.55]
recall
0.715 [1,0.9,0.8,0.7,0.6,0.75,0.6,0.75,0.75,0.3]
relative_absolute_error
0.33820135917886673
relative_absolute_error
0.36173668433824224
relative_absolute_error
0.37489941415387873
relative_absolute_error
0.3394142868479553
relative_absolute_error
0.341860531930915
relative_absolute_error
0.3411965062975988
relative_absolute_error
0.36555503927282124
relative_absolute_error
0.3409835485451241
relative_absolute_error
0.3101519103054191
relative_absolute_error
0.38360260197868257
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
0.19320388907788602
root_mean_squared_error
0.2026924821789253
root_mean_squared_error
0.2138714554186171
root_mean_squared_error
0.19214313455688498
root_mean_squared_error
0.19398143741072624
root_mean_squared_error
0.1880014284369113
root_mean_squared_error
0.20485314267450744
root_mean_squared_error
0.19257432496021307
root_mean_squared_error
0.17874105871140739
root_mean_squared_error
0.20650198679519552
root_relative_squared_error
0.6440129635929537
root_relative_squared_error
0.6756416072630848
root_relative_squared_error
0.7129048513953907
root_relative_squared_error
0.6404771151896169
root_relative_squared_error
0.6466047913690878
root_relative_squared_error
0.6266714281230381
root_relative_squared_error
0.6828438089150253
root_relative_squared_error
0.641914416534044
root_relative_squared_error
0.595803529038025
root_relative_squared_error
0.6883399559839855
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
166.26928699997734
usercpu_time_millis
156.10900899991975
usercpu_time_millis
148.9618329997029
usercpu_time_millis
151.53777400018953
usercpu_time_millis
112.30414900001051
usercpu_time_millis
119.85638100031792
usercpu_time_millis
112.88141900013215
usercpu_time_millis
113.286650000191
usercpu_time_millis
115.68086999977822
usercpu_time_millis
113.80499799997779
usercpu_time_millis_testing
1.8362509999860777
usercpu_time_millis_testing
1.7709080002532573
usercpu_time_millis_testing
1.7766699997991964
usercpu_time_millis_testing
1.743903000260616
usercpu_time_millis_testing
1.3056699999651755
usercpu_time_millis_testing
1.4438540001719957
usercpu_time_millis_testing
1.377649999994901
usercpu_time_millis_testing
1.3782149999315152
usercpu_time_millis_testing
1.3043640001342283
usercpu_time_millis_testing
1.382960000228195
usercpu_time_millis_training
164.43303599999126
usercpu_time_millis_training
154.3381009996665
usercpu_time_millis_training
147.1851629999037
usercpu_time_millis_training
149.7938709999289
usercpu_time_millis_training
110.99847900004534
usercpu_time_millis_training
118.41252700014593
usercpu_time_millis_training
111.50376900013725
usercpu_time_millis_training
111.90843500025949
usercpu_time_millis_training
114.376505999644
usercpu_time_millis_training
112.42203799974959