10154918
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8879
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)
8080457
bootstrap
true
8871
class_weight
null
8871
criterion
"gini"
8871
max_depth
null
8871
max_features
null
8871
max_leaf_nodes
null
8871
min_impurity_decrease
0.0
8871
min_impurity_split
null
8871
min_samples_leaf
1
8871
min_samples_split
2
8871
min_weight_fraction_leaf
0.0
8871
n_estimators
10
8871
n_jobs
null
8871
oob_score
false
8871
random_state
3289
8871
verbose
0
8871
warm_start
false
8871
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
memory
null
8879
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
21230559
description
https://api.openml.org/data/download/21230559/description.xml
-1
21230560
predictions
https://api.openml.org/data/download/21230560/predictions.arff
area_under_roc_curve
0.9405150052890154 [0.0,1,0.937034,0.946355,0.923044,0.949603,0.946421]
average_cost
0
f_measure
0.8193856870128086 [0.0,1,0.8,0.820144,0.803738,0.821429,0.842105]
kappa
0.7647770266079513
kb_relative_information_score
141.40576907885378
mean_absolute_error
0.08905923344947725
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.8260343677677957 [0.0,1,0.782609,0.791667,0.811321,0.958333,0.8]
predictive_accuracy
0.8195121951219513
prior_entropy
2.326811368739461
recall
0.8195121951219512 [0.0,1,0.818182,0.850746,0.796296,0.71875,0.888889]
relative_absolute_error
0.4031305796928936
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.2036598927535225
root_relative_squared_error
0.6138800776984276
total_cost
0
area_under_roc_curve
0.9211545729402874 [0.0,0.0,0.824074,0.94898,0.8625,1,0.972222]
area_under_roc_curve
0.9694772645900465 [0.0,0.0,0.947368,0.923469,1,1,1]
area_under_roc_curve
0.9178143772128733 [0.0,1,0.947368,0.979592,0.883333,0.740741,1]
area_under_roc_curve
0.9029259657079206 [0.0,1,1,0.933673,0.966667,0.962963,0.368421]
area_under_roc_curve
0.9111946532999164 [0.0,1,1,0.928571,0.794444,1,0.934211]
area_under_roc_curve
0.9745625942684766 [0.0,0.0,1,0.978022,0.946667,0.970588,1]
area_under_roc_curve
0.9406108597285068 [0.0,0.0,1,0.93956,0.9,0.911765,1]
area_under_roc_curve
0.951046626984127 [0.0,0.0,0.722222,0.988095,0.973333,0.945312,1]
area_under_roc_curve
0.9703125 [0.0,0.0,1,0.958333,1,0.914062,1]
area_under_roc_curve
0.9564285714285713 [0.0,0.0,1,0.904762,0.94,1,1]
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
0.9023431594860166 [0.0,0.0,0.8,0.933333,0.888889,1,0.857143]
f_measure
0.7875457875457876 [0.0,0.0,0,0.714286,0.923077,1,1]
f_measure
0.8539682539682542 [0.0,1,0.8,0.933333,0.8,0.8,0.8]
f_measure
0.7444444444444445 [0.0,1,0.8,0.833333,0.8,0.8,0]
f_measure
0.7657897657897659 [0.0,1,0.666667,0.769231,0.727273,1,0.5]
f_measure
0.8516483516483515 [0.0,0.0,1,0.923077,0.8,0.666667,0.857143]
f_measure
0.7952380952380952 [0.0,0.0,1,0.8,0.666667,0.8,0.857143]
f_measure
0.8005952380952379 [0.0,0.0,0.666667,0.75,0.75,0.857143,1]
f_measure
0.8904761904761905 [0.0,0.0,1,0.857143,1,0.666667,1]
f_measure
0.7416666666666666 [0.0,0.0,1,0.666667,0.666667,0.5,1]
kappa
0.8757396449704142
kappa
0.7454545454545455
kappa
0.8157894736842105
kappa
0.688427299703264
kappa
0.6974063400576369
kappa
0.8051948051948051
kappa
0.7350993377483445
kappa
0.7350993377483445
kappa
0.869281045751634
kappa
0.6753246753246753
kb_relative_information_score
15.389369822135228
kb_relative_information_score
14.309046421548462
kb_relative_information_score
14.94664415526886
kb_relative_information_score
13.39274494882897
kb_relative_information_score
14.329518226559099
kb_relative_information_score
14.053794116395736
kb_relative_information_score
12.532604046897966
kb_relative_information_score
13.686516517073812
kb_relative_information_score
14.58272168303801
kb_relative_information_score
14.182809141107628
mean_absolute_error
0.07482993197278912
mean_absolute_error
0.08435374149659862
mean_absolute_error
0.091156462585034
mean_absolute_error
0.10340136054421765
mean_absolute_error
0.10340136054421768
mean_absolute_error
0.08142857142857143
mean_absolute_error
0.10285714285714284
mean_absolute_error
0.08142857142857142
mean_absolute_error
0.07714285714285714
mean_absolute_error
0.08999999999999997
mean_prior_absolute_error
0.22134514183031703
mean_prior_absolute_error
0.21929149018097804
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.2196765498652291
mean_prior_absolute_error
0.2196765498652291
mean_prior_absolute_error
0.22203504043126684
mean_prior_absolute_error
0.22203504043126684
mean_prior_absolute_error
0.2227088948787062
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,3,6,5,3,3]
precision
0.9226190476190477 [0.0,0.0,1,0.875,1,1,0.75]
precision
0.7687074829931972 [0.0,0.0,0,0.714286,0.857143,1,1]
precision
0.8948412698412698 [0.0,1,0.666667,0.875,1,1,0.666667]
precision
0.7777777777777777 [0.0,1,0.666667,1,0.666667,1,0]
precision
0.792063492063492 [0.0,1,0.5,0.833333,0.8,1,0.5]
precision
0.8625 [0.0,0.0,1,1,0.8,0.666667,0.75]
precision
0.8125 [0.0,0.0,1,0.75,0.75,1,0.75]
precision
0.8800000000000001 [0.0,0.0,1,0.6,1,1,1]
precision
0.925 [0.0,0.0,1,0.75,1,1,1]
precision
0.7928571428571429 [0.0,0.0,1,0.666667,0.571429,1,1]
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.75
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
recall
0.9047619047619048 [0.0,0.0,0.666667,1,0.8,1,1]
recall
0.8095238095238095 [0.0,0.0,0,0.714286,1,1,1]
recall
0.8571428571428571 [0.0,1,1,1,0.666667,0.666667,1]
recall
0.7619047619047619 [0.0,1,1,0.714286,1,0.666667,0]
recall
0.7619047619047619 [0.0,1,1,0.714286,0.666667,1,0.5]
recall
0.85 [0.0,0.0,1,0.857143,0.8,0.666667,1]
recall
0.8 [0.0,0.0,1,0.857143,0.6,0.666667,1]
recall
0.8 [0.0,0.0,0.5,1,0.6,0.75,1]
recall
0.9 [0.0,0.0,1,1,1,0.5,1]
recall
0.75 [0.0,0.0,1,0.666667,0.8,0.333333,1]
relative_absolute_error
0.33806900550884317
relative_absolute_error
0.3846649107404155
relative_absolute_error
0.412786980528916
relative_absolute_error
0.4682359779133972
relative_absolute_error
0.46823597791339727
relative_absolute_error
0.37067484662576694
relative_absolute_error
0.46822085889570547
relative_absolute_error
0.3667374810318665
relative_absolute_error
0.3474355083459787
relative_absolute_error
0.40411497730711027
root_mean_prior_squared_error
0.33239995202935096
root_mean_prior_squared_error
0.3292963353269754
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3298804876679233
root_mean_prior_squared_error
0.3298804876679233
root_mean_prior_squared_error
0.33343609089308945
root_mean_prior_squared_error
0.33343609089308945
root_mean_prior_squared_error
0.33444503458341845
root_mean_squared_error
0.1941315915299001
root_mean_squared_error
0.1898800194035894
root_mean_squared_error
0.21285234893930485
root_mean_squared_error
0.2321153829895989
root_mean_squared_error
0.2237588595137282
root_mean_squared_error
0.1942016624910449
root_mean_squared_error
0.21145752697477033
root_mean_squared_error
0.19639610121239315
root_mean_squared_error
0.18087090897733035
root_mean_squared_error
0.19309509130403676
root_relative_squared_error
0.5840301430391248
root_relative_squared_error
0.5766235424850619
root_relative_squared_error
0.6418430826409085
root_relative_squared_error
0.6999295694354849
root_relative_squared_error
0.674730990163788
root_relative_squared_error
0.5887030902129
root_relative_squared_error
0.6410125329620456
root_relative_squared_error
0.5890067289547375
root_relative_squared_error
0.5424455058025601
root_relative_squared_error
0.5773597193468701
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