10129651
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8879
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)
8055100
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
35385
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
21179841
description
https://api.openml.org/data/download/21179841/description.xml
-1
21179840
predictions
https://api.openml.org/data/download/21179840/predictions.arff
area_under_roc_curve
0.9341781025503634 [0.0,0.99835,0.943244,0.930943,0.911271,0.957731,0.945589]
average_cost
0
f_measure
0.8092563720158522 [0.0,0.8,0.844444,0.832117,0.792793,0.785714,0.785714]
kappa
0.7516618003354664
kb_relative_information_score
142.17328107516434
mean_absolute_error
0.08613240418118455
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.8157627238095605 [0.0,1,0.826087,0.814286,0.77193,0.916667,0.758621]
predictive_accuracy
0.8097560975609756
prior_entropy
2.326811368739461
recall
0.8097560975609757 [0.0,0.666667,0.863636,0.850746,0.814815,0.6875,0.814815]
relative_absolute_error
0.3898821568860848
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.20338597212820894
root_relative_squared_error
0.613054414812735
total_cost
0
area_under_roc_curve
0.9351143235071807 [0.0,0.0,0.824074,0.97449,0.86875,1,1]
area_under_roc_curve
0.9361936587500498 [0.0,0.0,0.973684,0.908163,0.911111,1,0.962963]
area_under_roc_curve
0.9011477105462068 [0.0,1,0.960526,0.979592,0.755556,0.87963,0.986842]
area_under_roc_curve
0.8906154274575326 [0.0,1,1,0.892857,0.977778,0.87963,0.473684]
area_under_roc_curve
0.9149242153001551 [0.0,1,1,0.923469,0.822222,1,0.907895]
area_under_roc_curve
0.9619909502262445 [0.0,0.0,1,0.895604,1,0.990196,1]
area_under_roc_curve
0.9166289592760182 [0.0,0.0,1,0.862637,0.9,0.931373,1]
area_under_roc_curve
0.9733333333333334 [0.0,0.0,0.75,1,0.993333,1,1]
area_under_roc_curve
0.9848214285714285 [0.0,0.0,1,0.970238,1,0.96875,1]
area_under_roc_curve
0.9544747899159665 [0.0,0.0,1,0.934524,0.92,0.960784,1]
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
0.7197278911564625 [0.0,0.0,0.5,0.769231,0.769231,0.8,0.571429]
f_measure
0.7506493506493507 [0.0,1,0.8,0.857143,0.727273,0.4,0.8]
f_measure
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
f_measure
0.8989210789210788 [0.0,0.0,1,0.923077,0.909091,0.8,0.857143]
f_measure
0.8066666666666666 [0.0,0.0,1,0.857143,0.666667,0.8,0.8]
f_measure
0.8441666666666666 [0.0,0.0,0.666667,0.8,0.75,1,1]
f_measure
0.8413752913752912 [0.0,0.0,1,0.769231,0.909091,0.666667,1]
f_measure
0.8507692307692309 [0.0,0.0,1,0.769231,0.8,0.8,1]
kappa
0.8757396449704142
kappa
0.6238805970149254
kappa
0.6938775510204082
kappa
0.5611940298507463
kappa
0.7514792899408285
kappa
0.869281045751634
kappa
0.7333333333333334
kappa
0.8026315789473684
kappa
0.8045602605863191
kappa
0.8058252427184466
kb_relative_information_score
15.80937805169333
kb_relative_information_score
12.716464107976229
kb_relative_information_score
14.327924633373424
kb_relative_information_score
13.26829016271659
kb_relative_information_score
14.256042059112358
kb_relative_information_score
14.744319038861134
kb_relative_information_score
12.540306393653715
kb_relative_information_score
15.026043254286224
kb_relative_information_score
14.981216465514512
kb_relative_information_score
14.503296907976878
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.10068027210884352
mean_absolute_error
0.09659863945578231
mean_absolute_error
0.09931972789115646
mean_absolute_error
0.0979591836734694
mean_absolute_error
0.0757142857142857
mean_absolute_error
0.10285714285714284
mean_absolute_error
0.06571428571428573
mean_absolute_error
0.07428571428571429
mean_absolute_error
0.07857142857142857
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
0.743764172335601 [0.0,0.0,0.5,0.833333,0.714286,1,0.5]
precision
0.7603174603174603 [0.0,1,0.666667,0.857143,0.8,0.5,0.666667]
precision
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
precision
0.9208333333333334 [0.0,0.0,1,1,0.833333,1,0.75]
precision
0.8428571428571429 [0.0,0.0,1,0.857143,0.571429,1,1]
precision
0.9 [0.0,0.0,1,0.666667,1,1,1]
precision
0.8726190476190476 [0.0,0.0,1,0.714286,0.833333,1,1]
precision
0.8642857142857142 [0.0,0.0,1,0.714286,0.8,1,1]
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.85
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
0.7142857142857143 [0.0,0.0,0.5,0.714286,0.833333,0.666667,0.666667]
recall
0.7619047619047619 [0.0,1,1,0.857143,0.666667,0.333333,1]
recall
0.6666666666666666 [0.0,0,1,0.714286,1,0.333333,0]
recall
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
recall
0.9 [0.0,0.0,1,0.857143,1,0.666667,1]
recall
0.8 [0.0,0.0,1,0.857143,0.8,0.666667,0.666667]
recall
0.85 [0.0,0.0,0.5,1,0.6,1,1]
recall
0.85 [0.0,0.0,1,0.833333,1,0.5,1]
recall
0.85 [0.0,0.0,1,0.833333,0.8,0.666667,1]
relative_absolute_error
0.30733545955349373
relative_absolute_error
0.4591161837869475
relative_absolute_error
0.43743097936646336
relative_absolute_error
0.4497529787852369
relative_absolute_error
0.44359197907585013
relative_absolute_error
0.3446625766871165
relative_absolute_error
0.46822085889570547
relative_absolute_error
0.2959635811836116
relative_absolute_error
0.3345675265553869
relative_absolute_error
0.3527987897125567
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
0.18220120447341898
root_mean_squared_error
0.2264785133446498
root_mean_squared_error
0.2249716535431946
root_mean_squared_error
0.24383556408556398
root_mean_squared_error
0.22223355980148637
root_mean_squared_error
0.16647608150808246
root_mean_squared_error
0.2148088851580799
root_mean_squared_error
0.17154757774032087
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.18973665961010278
root_relative_squared_error
0.5481384800480675
root_relative_squared_error
0.68776505854451
root_relative_squared_error
0.6783880954875501
root_relative_squared_error
0.735271050049772
root_relative_squared_error
0.6701315432977552
root_relative_squared_error
0.5046557396740207
root_relative_squared_error
0.6511718431019143
root_relative_squared_error
0.5144841318192057
root_relative_squared_error
0.5069362782324008
root_relative_squared_error
0.5673179147253208
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