10149247
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)
8074879
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"most_frequent"
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
17
8783
min_samples_split
18
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
41688
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
21219033
description
https://api.openml.org/data/download/21219033/description.xml
-1
21219034
predictions
https://api.openml.org/data/download/21219034/predictions.arff
area_under_roc_curve
0.8388183431952663 [0.838818,0.838818]
average_cost
0
f_measure
0.7830723021318797 [0.784074,0.782071]
kappa
0.5661538461538462
kb_relative_information_score
1294.2760939961026
mean_absolute_error
0.2572957543096127
mean_prior_absolute_error
0.5
number_of_instances
2600 [1300,1300]
precision
0.7831010452961672 [0.780488,0.785714]
predictive_accuracy
0.7830769230769231
prior_entropy
1
recall
0.7830769230769231 [0.787692,0.778462]
relative_absolute_error
0.5145915086192254
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.4099467588828637
root_relative_squared_error
0.8198935177657273
total_cost
0
area_under_roc_curve
0.851301775147929 [0.851302,0.851302]
area_under_roc_curve
0.8303550295857988 [0.830355,0.830355]
area_under_roc_curve
0.8348816568047337 [0.834882,0.834882]
area_under_roc_curve
0.8567455621301775 [0.856746,0.856746]
area_under_roc_curve
0.8827218934911243 [0.882722,0.882722]
area_under_roc_curve
0.8605325443786982 [0.860533,0.860533]
area_under_roc_curve
0.8629585798816568 [0.862959,0.862959]
area_under_roc_curve
0.768698224852071 [0.768698,0.768698]
area_under_roc_curve
0.8036686390532545 [0.803669,0.803669]
area_under_roc_curve
0.8311242603550296 [0.831124,0.831124]
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
0.8038200352117886 [0.806084,0.801556]
f_measure
0.7884584091480643 [0.789272,0.787645]
f_measure
0.7767116796967545 [0.769841,0.783582]
f_measure
0.7998934343733348 [0.795276,0.804511]
f_measure
0.8115356736046392 [0.812261,0.810811]
f_measure
0.8038200352117886 [0.806084,0.801556]
f_measure
0.8038432521191142 [0.803089,0.804598]
f_measure
0.6830964980082049 [0.705036,0.661157]
f_measure
0.7730735661770145 [0.772201,0.773946]
f_measure
0.7846026392094209 [0.78626,0.782946]
kappa
0.6076923076923078
kappa
0.5769230769230769
kappa
0.5538461538461539
kappa
0.6000000000000001
kappa
0.6230769230769231
kappa
0.6076923076923078
kappa
0.6076923076923078
kappa
0.36923076923076925
kappa
0.5461538461538462
kappa
0.5692307692307692
kb_relative_information_score
131.0601000743911
kb_relative_information_score
131.8028206184622
kb_relative_information_score
130.51655158497886
kb_relative_information_score
145.46160403294547
kb_relative_information_score
145.53211205601917
kb_relative_information_score
137.65476418422526
kb_relative_information_score
136.5820569928416
kb_relative_information_score
92.51934538002855
kb_relative_information_score
118.28916874799832
kb_relative_information_score
124.85757032421071
mean_absolute_error
0.2556980409475667
mean_absolute_error
0.2541052967059821
mean_absolute_error
0.25315060778374265
mean_absolute_error
0.22691389844146917
mean_absolute_error
0.2266645727454721
mean_absolute_error
0.2410128562527945
mean_absolute_error
0.24453424112380734
mean_absolute_error
0.32467843982580374
mean_absolute_error
0.2801286387948258
mean_absolute_error
0.26607095047466794
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
0.8040080516251258 [0.796992,0.811024]
precision
0.7884786082016686 [0.78626,0.790698]
precision
0.777975766215253 [0.795082,0.76087]
precision
0.8006404174573056 [0.814516,0.786765]
precision
0.8115568968578023 [0.80916,0.813953]
precision
0.8040080516251258 [0.796992,0.811024]
precision
0.8038641339724244 [0.806202,0.801527]
precision
0.6882239382239382 [0.662162,0.714286]
precision
0.7730930824309131 [0.775194,0.770992]
precision
0.7846827651515151 [0.780303,0.789062]
predictive_accuracy
0.8038461538461539
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7769230769230769
predictive_accuracy
0.8
predictive_accuracy
0.8115384615384617
predictive_accuracy
0.8038461538461539
predictive_accuracy
0.8038461538461539
predictive_accuracy
0.6846153846153846
predictive_accuracy
0.7730769230769231
predictive_accuracy
0.7846153846153847
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
0.8038461538461539 [0.815385,0.792308]
recall
0.7884615384615384 [0.792308,0.784615]
recall
0.7769230769230769 [0.746154,0.807692]
recall
0.8 [0.776923,0.823077]
recall
0.8115384615384615 [0.815385,0.807692]
recall
0.8038461538461539 [0.815385,0.792308]
recall
0.8038461538461539 [0.8,0.807692]
recall
0.6846153846153846 [0.753846,0.615385]
recall
0.7730769230769231 [0.769231,0.776923]
recall
0.7846153846153846 [0.792308,0.776923]
relative_absolute_error
0.5113960818951334
relative_absolute_error
0.5082105934119642
relative_absolute_error
0.5063012155674853
relative_absolute_error
0.4538277968829384
relative_absolute_error
0.45332914549094416
relative_absolute_error
0.48202571250558907
relative_absolute_error
0.4890684822476147
relative_absolute_error
0.6493568796516075
relative_absolute_error
0.5602572775896516
relative_absolute_error
0.5321419009493359
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
0.39836382245766216
root_mean_squared_error
0.40964414767305773
root_mean_squared_error
0.4172281023267825
root_mean_squared_error
0.3863666628799058
root_mean_squared_error
0.3712693165721193
root_mean_squared_error
0.3977724694778544
root_mean_squared_error
0.3883647413478587
root_mean_squared_error
0.47133339093754145
root_mean_squared_error
0.4355081442761992
root_mean_squared_error
0.414716019096695
root_relative_squared_error
0.7967276449153243
root_relative_squared_error
0.8192882953461155
root_relative_squared_error
0.834456204653565
root_relative_squared_error
0.7727333257598116
root_relative_squared_error
0.7425386331442386
root_relative_squared_error
0.7955449389557088
root_relative_squared_error
0.7767294826957173
root_relative_squared_error
0.9426667818750829
root_relative_squared_error
0.8710162885523984
root_relative_squared_error
0.82943203819339
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
1817.9842490026203
usercpu_time_millis
1611.334421999345
usercpu_time_millis
1630.0445800006855
usercpu_time_millis
1648.92461600175
usercpu_time_millis
1648.8463260029675
usercpu_time_millis
1619.6032520019799
usercpu_time_millis
1623.256909999327
usercpu_time_millis
1636.0303569963435
usercpu_time_millis
1699.4747129974712
usercpu_time_millis
1700.2853250014596
usercpu_time_millis_testing
4.591214001266053
usercpu_time_millis_testing
4.644221000489779
usercpu_time_millis_testing
4.633302000002004
usercpu_time_millis_testing
4.633563999959733
usercpu_time_millis_testing
4.834072002267931
usercpu_time_millis_testing
4.479825001908466
usercpu_time_millis_testing
4.494069999054773
usercpu_time_millis_testing
4.910782998194918
usercpu_time_millis_testing
4.433883997990051
usercpu_time_millis_testing
5.6938710004033055
usercpu_time_millis_training
1813.3930350013543
usercpu_time_millis_training
1606.6902009988553
usercpu_time_millis_training
1625.4112780006835
usercpu_time_millis_training
1644.2910520017904
usercpu_time_millis_training
1644.0122540006996
usercpu_time_millis_training
1615.1234270000714
usercpu_time_millis_training
1618.7628400002723
usercpu_time_millis_training
1631.1195739981486
usercpu_time_millis_training
1695.0408289994812
usercpu_time_millis_training
1694.5914540010563