10152953
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)
8078617
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
"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
20
8783
min_samples_split
2
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
13136
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
21226445
description
https://api.openml.org/data/download/21226445/description.xml
-1
21226446
predictions
https://api.openml.org/data/download/21226446/predictions.arff
area_under_roc_curve
0.8301221893491124 [0.830122,0.830122]
average_cost
0
f_measure
0.761030791151479 [0.766454,0.755608]
kappa
0.5223076923076924
kb_relative_information_score
1227.0433740002147
mean_absolute_error
0.26883610856252216
mean_prior_absolute_error
0.5
number_of_instances
2600 [1300,1300]
precision
0.7616928715300568 [0.749816,0.77357]
predictive_accuracy
0.7611538461538462
prior_entropy
1
recall
0.7611538461538462 [0.783846,0.738462]
relative_absolute_error
0.5376722171250443
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.4230846002844426
root_relative_squared_error
0.8461692005688852
total_cost
0
area_under_roc_curve
0.85198224852071 [0.851982,0.851982]
area_under_roc_curve
0.8127218934911242 [0.812722,0.812722]
area_under_roc_curve
0.8249408284023668 [0.824941,0.824941]
area_under_roc_curve
0.8513313609467456 [0.851331,0.851331]
area_under_roc_curve
0.8328994082840236 [0.832899,0.832899]
area_under_roc_curve
0.8190236686390533 [0.819024,0.819024]
area_under_roc_curve
0.8687573964497042 [0.868757,0.868757]
area_under_roc_curve
0.7832248520710059 [0.783225,0.783225]
area_under_roc_curve
0.8000295857988166 [0.80003,0.80003]
area_under_roc_curve
0.8525443786982249 [0.852544,0.852544]
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
0.7574016202846605 [0.765799,0.749004]
f_measure
0.7842962962962964 [0.792593,0.776]
f_measure
0.7419985485567026 [0.733068,0.750929]
f_measure
0.7807659876625392 [0.779923,0.781609]
f_measure
0.7537149961517968 [0.759398,0.748031]
f_measure
0.738322183411284 [0.744361,0.732283]
f_measure
0.8230664536363098 [0.824427,0.821705]
f_measure
0.7111924051007864 [0.72119,0.701195]
f_measure
0.7529104300308862 [0.768116,0.737705]
f_measure
0.764963914699388 [0.774908,0.75502]
kappa
0.5153846153846153
kappa
0.5692307692307692
kappa
0.48461538461538467
kappa
0.5615384615384615
kappa
0.5076923076923077
kappa
0.476923076923077
kappa
0.6461538461538461
kappa
0.42307692307692313
kappa
0.5076923076923077
kappa
0.5307692307692307
kb_relative_information_score
129.5374693162589
kb_relative_information_score
123.376020330249
kb_relative_information_score
118.85641736173733
kb_relative_information_score
140.25437585373845
kb_relative_information_score
120.5872174192837
kb_relative_information_score
116.49661939235449
kb_relative_information_score
138.6244726071934
kb_relative_information_score
97.02252150574033
kb_relative_information_score
111.89367756524288
kb_relative_information_score
130.3945826484144
mean_absolute_error
0.2525699476929085
mean_absolute_error
0.2696284169466555
mean_absolute_error
0.2747108920891321
mean_absolute_error
0.23604635191209053
mean_absolute_error
0.2741502227476005
mean_absolute_error
0.27839218143917704
mean_absolute_error
0.23957368586394798
mean_absolute_error
0.3191781333242295
mean_absolute_error
0.29104824042725447
mean_absolute_error
0.25306301318222285
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
0.7589333491884178 [0.741007,0.77686]
precision
0.7863095238095238 [0.764286,0.808333]
precision
0.743474641774184 [0.760331,0.726619]
precision
0.7807858453162909 [0.782946,0.778626]
precision
0.7543880455407969 [0.742647,0.766129]
precision
0.738970588235294 [0.727941,0.75]
precision
0.8231534090909092 [0.818182,0.828125]
precision
0.7125572269457161 [0.697842,0.727273]
precision
0.7577505407354002 [0.726027,0.789474]
precision
0.7672984087251922 [0.744681,0.789916]
predictive_accuracy
0.7576923076923078
predictive_accuracy
0.7846153846153847
predictive_accuracy
0.7423076923076922
predictive_accuracy
0.7807692307692308
predictive_accuracy
0.7538461538461538
predictive_accuracy
0.7384615384615384
predictive_accuracy
0.823076923076923
predictive_accuracy
0.7115384615384616
predictive_accuracy
0.7538461538461538
predictive_accuracy
0.7653846153846153
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
0.7576923076923077 [0.792308,0.723077]
recall
0.7846153846153846 [0.823077,0.746154]
recall
0.7423076923076923 [0.707692,0.776923]
recall
0.7807692307692308 [0.776923,0.784615]
recall
0.7538461538461538 [0.776923,0.730769]
recall
0.7384615384615385 [0.761538,0.715385]
recall
0.823076923076923 [0.830769,0.815385]
recall
0.7115384615384616 [0.746154,0.676923]
recall
0.7538461538461538 [0.815385,0.692308]
recall
0.7653846153846153 [0.807692,0.723077]
relative_absolute_error
0.505139895385817
relative_absolute_error
0.539256833893311
relative_absolute_error
0.5494217841782641
relative_absolute_error
0.47209270382418106
relative_absolute_error
0.548300445495201
relative_absolute_error
0.5567843628783541
relative_absolute_error
0.47914737172789595
relative_absolute_error
0.638356266648459
relative_absolute_error
0.5820964808545089
relative_absolute_error
0.5061260263644457
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
0.4090192073151053
root_mean_squared_error
0.42712112987645773
root_mean_squared_error
0.4364625279516979
root_mean_squared_error
0.392362962950767
root_mean_squared_error
0.4188261587528607
root_mean_squared_error
0.43664934758795615
root_mean_squared_error
0.388568895308529
root_mean_squared_error
0.4618957240123227
root_mean_squared_error
0.4440037039273249
root_mean_squared_error
0.41021658434215985
root_relative_squared_error
0.8180384146302105
root_relative_squared_error
0.8542422597529155
root_relative_squared_error
0.8729250559033958
root_relative_squared_error
0.784725925901534
root_relative_squared_error
0.8376523175057214
root_relative_squared_error
0.8732986951759123
root_relative_squared_error
0.7771377906170581
root_relative_squared_error
0.9237914480246454
root_relative_squared_error
0.8880074078546498
root_relative_squared_error
0.8204331686843197
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
1641.5584219994344
usercpu_time_millis
1658.4990140017908
usercpu_time_millis
1655.3537190011411
usercpu_time_millis
1676.9656029991893
usercpu_time_millis
1662.6268489999347
usercpu_time_millis
1661.4757100014685
usercpu_time_millis
1682.4861980021524
usercpu_time_millis
1698.5651309987588
usercpu_time_millis
1684.0590689989767
usercpu_time_millis
1647.0298419990286
usercpu_time_millis_testing
4.4845109987363685
usercpu_time_millis_testing
4.579884000122547
usercpu_time_millis_testing
4.616162001184421
usercpu_time_millis_testing
4.6014039999136
usercpu_time_millis_testing
4.6045580002100905
usercpu_time_millis_testing
4.601352000463521
usercpu_time_millis_testing
4.903646000457229
usercpu_time_millis_testing
4.635539999071625
usercpu_time_millis_testing
4.575151000608457
usercpu_time_millis_testing
4.635536999558099
usercpu_time_millis_training
1637.073911000698
usercpu_time_millis_training
1653.9191300016682
usercpu_time_millis_training
1650.7375569999567
usercpu_time_millis_training
1672.3641989992757
usercpu_time_millis_training
1658.0222909997246
usercpu_time_millis_training
1656.874358001005
usercpu_time_millis_training
1677.5825520016951
usercpu_time_millis_training
1693.9295909996872
usercpu_time_millis_training
1679.4839179983683
usercpu_time_millis_training
1642.3943049994705