10098166
1
Jan van Rijn
9976
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)
8023315
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"mean"
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
12
8783
min_samples_split
7
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
42586
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.
1485
madelon
https://www.openml.org/data/download/1590986/phpfLuQE4
-1
21116869
description
https://api.openml.org/data/download/21116869/description.xml
-1
21116870
predictions
https://api.openml.org/data/download/21116870/predictions.arff
area_under_roc_curve
0.8361615384615384 [0.836162,0.836162]
average_cost
0
f_measure
0.7826920183769476 [0.782943,0.782441]
kappa
0.5653846153846154
kb_relative_information_score
1341.7665841445134
mean_absolute_error
0.24622257788702706
mean_prior_absolute_error
0.5
number_of_instances
2600 [1300,1300]
precision
0.7826938131623187 [0.782041,0.783346]
predictive_accuracy
0.7826923076923077
prior_entropy
1
recall
0.7826923076923077 [0.783846,0.781538]
relative_absolute_error
0.49244515577405407
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.414712078923407
root_relative_squared_error
0.829424157846814
total_cost
0
area_under_roc_curve
0.8390532544378698 [0.839053,0.839053]
area_under_roc_curve
0.8327514792899409 [0.832751,0.832751]
area_under_roc_curve
0.8303846153846154 [0.830385,0.830385]
area_under_roc_curve
0.8635502958579881 [0.86355,0.86355]
area_under_roc_curve
0.8855325443786982 [0.885533,0.885533]
area_under_roc_curve
0.832603550295858 [0.832604,0.832604]
area_under_roc_curve
0.8611242603550295 [0.861124,0.861124]
area_under_roc_curve
0.766094674556213 [0.766095,0.766095]
area_under_roc_curve
0.8227810650887574 [0.822781,0.822781]
area_under_roc_curve
0.8283136094674556 [0.828314,0.828314]
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
0.8076809278655542 [0.80916,0.806202]
f_measure
0.7576600434969152 [0.760456,0.754864]
f_measure
0.7921970280030785 [0.787402,0.796992]
f_measure
0.7921970280030785 [0.787402,0.796992]
f_measure
0.8422866949741828 [0.840467,0.844106]
f_measure
0.7921970280030785 [0.796992,0.787402]
f_measure
0.8076809278655542 [0.806202,0.80916]
f_measure
0.6998401515600023 [0.706767,0.692913]
f_measure
0.773046707401873 [0.775665,0.770428]
f_measure
0.7615384615384615 [0.761538,0.761538]
kappa
0.6153846153846154
kappa
0.5153846153846153
kappa
0.5846153846153845
kappa
0.5846153846153845
kappa
0.6846153846153846
kappa
0.5846153846153845
kappa
0.6153846153846154
kappa
0.3999999999999999
kappa
0.5461538461538462
kappa
0.523076923076923
kb_relative_information_score
137.3069099623176
kb_relative_information_score
132.45718958601356
kb_relative_information_score
131.8483158793095
kb_relative_information_score
145.75510133742787
kb_relative_information_score
152.95076204043474
kb_relative_information_score
140.05992705483493
kb_relative_information_score
141.8721512905266
kb_relative_information_score
97.19265803150843
kb_relative_information_score
128.57034807907038
kb_relative_information_score
133.75322088307271
mean_absolute_error
0.24133988003674242
mean_absolute_error
0.24839894963405226
mean_absolute_error
0.2508370778573182
mean_absolute_error
0.22319745057078375
mean_absolute_error
0.21258708443342858
mean_absolute_error
0.23455137166556556
mean_absolute_error
0.23172876278368523
mean_absolute_error
0.31595336402865626
mean_absolute_error
0.25827516940073497
mean_absolute_error
0.24535666845930285
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
precision
0.8077651515151515 [0.80303,0.8125]
precision
0.7578296134035877 [0.75188,0.76378]
precision
0.7929316888045541 [0.806452,0.779412]
precision
0.7929316888045541 [0.806452,0.779412]
precision
0.8424900834764075 [0.850394,0.834586]
precision
0.7929316888045541 [0.779412,0.806452]
precision
0.8077651515151515 [0.8125,0.80303]
precision
0.700426944971537 [0.691176,0.709677]
precision
0.7732224261441003 [0.766917,0.779528]
precision
0.7615384615384615 [0.761538,0.761538]
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.7576923076923078
predictive_accuracy
0.7923076923076923
predictive_accuracy
0.7923076923076923
predictive_accuracy
0.8423076923076923
predictive_accuracy
0.7923076923076923
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.7
predictive_accuracy
0.7730769230769231
predictive_accuracy
0.7615384615384616
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
recall
0.8076923076923077 [0.815385,0.8]
recall
0.7576923076923077 [0.769231,0.746154]
recall
0.7923076923076923 [0.769231,0.815385]
recall
0.7923076923076923 [0.769231,0.815385]
recall
0.8423076923076923 [0.830769,0.853846]
recall
0.7923076923076923 [0.815385,0.769231]
recall
0.8076923076923077 [0.8,0.815385]
recall
0.7 [0.723077,0.676923]
recall
0.7730769230769231 [0.784615,0.761538]
recall
0.7615384615384615 [0.761538,0.761538]
relative_absolute_error
0.4826797600734849
relative_absolute_error
0.4967978992681045
relative_absolute_error
0.5016741557146364
relative_absolute_error
0.4463949011415675
relative_absolute_error
0.42517416886685716
relative_absolute_error
0.46910274333113106
relative_absolute_error
0.46345752556737047
relative_absolute_error
0.6319067280573125
relative_absolute_error
0.5165503388014699
relative_absolute_error
0.49071333691860564
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.41524727832270075
root_mean_squared_error
0.417473417909007
root_mean_squared_error
0.4218335481294621
root_mean_squared_error
0.39163549403860093
root_mean_squared_error
0.36245198934168465
root_mean_squared_error
0.41682724811449123
root_mean_squared_error
0.3938479385948119
root_mean_squared_error
0.4741050242612557
root_mean_squared_error
0.4225483417062969
root_mean_squared_error
0.42221979054044395
root_relative_squared_error
0.8304945566454015
root_relative_squared_error
0.834946835818014
root_relative_squared_error
0.8436670962589242
root_relative_squared_error
0.7832709880772019
root_relative_squared_error
0.7249039786833693
root_relative_squared_error
0.8336544962289824
root_relative_squared_error
0.7876958771896237
root_relative_squared_error
0.9482100485225115
root_relative_squared_error
0.8450966834125938
root_relative_squared_error
0.8444395810808879
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
614.7260020006797
usercpu_time_millis
475.4544910010736
usercpu_time_millis
467.6432519991067
usercpu_time_millis
439.52208300106577
usercpu_time_millis
434.24941299963393
usercpu_time_millis
433.29307999920275
usercpu_time_millis
448.2020899995405
usercpu_time_millis
445.3475200007233
usercpu_time_millis
459.12988999953086
usercpu_time_millis
459.71399699919857
usercpu_time_millis_testing
6.125416000941186
usercpu_time_millis_testing
4.459087000213913
usercpu_time_millis_testing
4.78162999934284
usercpu_time_millis_testing
4.64792400089209
usercpu_time_millis_testing
4.446543000085512
usercpu_time_millis_testing
4.514795000432059
usercpu_time_millis_testing
4.499877999478485
usercpu_time_millis_testing
4.4595729996217415
usercpu_time_millis_testing
4.595005999362911
usercpu_time_millis_testing
4.6001949995115865
usercpu_time_millis_training
608.6005859997385
usercpu_time_millis_training
470.9954040008597
usercpu_time_millis_training
462.8616219997639
usercpu_time_millis_training
434.8741590001737
usercpu_time_millis_training
429.8028699995484
usercpu_time_millis_training
428.7782849987707
usercpu_time_millis_training
443.702212000062
usercpu_time_millis_training
440.88794700110157
usercpu_time_millis_training
454.53488400016795
usercpu_time_millis_training
455.113801999687