10154868
287
Hugo Spee
4
Supervised Classification
predictive_accuracy
8879
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)
8080426
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
18224
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.
4
labor
https://www.openml.org/data/download/4/dataset_4_labor.arff
-1
21230351
description
https://api.openml.org/data/download/21230351/description.xml
-1
21230352
predictions
https://api.openml.org/data/download/21230352/predictions.arff
area_under_roc_curve
0.9743243243243245 [0.974324,0.974324]
average_cost
0
f_measure
0.9117408906882591 [0.871795,0.933333]
kappa
0.8051948051948051
kb_relative_information_score
38.63194929841837
mean_absolute_error
0.1561403508771929
mean_prior_absolute_error
0.45703241153731783
number_of_instances
57 [20,37]
precision
0.9118190212373037 [0.894737,0.921053]
predictive_accuracy
0.912280701754386
prior_entropy
0.9392547207311598
recall
0.9122807017543859 [0.85,0.945946]
relative_absolute_error
0.3416395575797006
root_mean_prior_squared_error
0.4772713500278714
root_mean_squared_error
0.2564945880212885
root_relative_squared_error
0.5374187828502798
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.8333333333333334 [0.833333,0.833333]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [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
1 [1,1]
f_measure
1 [1,1]
f_measure
0.6666666666666666 [0.5,0.75]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0
kappa
1
kappa
1
kappa
0.24999999999999986
kappa
1
kappa
1
kappa
1
kappa
0.6153846153846155
kappa
1
kappa
1
kb_relative_information_score
3.0616372146907236
kb_relative_information_score
5.004961841937722
kb_relative_information_score
5.552814476023173
kb_relative_information_score
2.04474995293119
kb_relative_information_score
4.220333798128141
kb_relative_information_score
4.606352703737118
kb_relative_information_score
4.263604258845877
kb_relative_information_score
1.9917791942020038
kb_relative_information_score
3.1895811723763074
kb_relative_information_score
4.696134685546102
mean_absolute_error
0.19999999999999998
mean_absolute_error
0.08333333333333333
mean_absolute_error
0.03333333333333333
mean_absolute_error
0.2833333333333333
mean_absolute_error
0.15
mean_absolute_error
0.11666666666666665
mean_absolute_error
0.15
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.06
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4519774011299435
mean_prior_absolute_error
0.4711864406779661
mean_prior_absolute_error
0.4711864406779661
mean_prior_absolute_error
0.4711864406779661
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
5 [2,3]
number_of_instances
5 [2,3]
number_of_instances
5 [2,3]
precision
1 [1,1]
precision
1 [1,1]
precision
0.6666666666666666 [0.5,0.75]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.8666666666666666 [0.666667,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.6666666666666667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.6666666666666667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
prior_entropy
0.9392547207311598
recall
0.6666666666666666 [0,1]
recall
1 [1,1]
recall
1 [1,1]
recall
0.6666666666666666 [0.5,0.75]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
0.8 [1,0.666667]
recall
1 [1,1]
recall
1 [1,1]
relative_absolute_error
0.4425
relative_absolute_error
0.18437499999999996
relative_absolute_error
0.07375
relative_absolute_error
0.626875
relative_absolute_error
0.331875
relative_absolute_error
0.258125
relative_absolute_error
0.331875
relative_absolute_error
0.6366906474820143
relative_absolute_error
0.4244604316546763
relative_absolute_error
0.12733812949640286
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.47194589854140345
root_mean_prior_squared_error
0.49187597084841955
root_mean_prior_squared_error
0.49187597084841955
root_mean_prior_squared_error
0.49187597084841955
root_mean_squared_error
0.34641016151377546
root_mean_squared_error
0.13540064007726602
root_mean_squared_error
0.05773502691896257
root_mean_squared_error
0.4183300132670378
root_mean_squared_error
0.21213203435596428
root_mean_squared_error
0.17795130420052188
root_mean_squared_error
0.1957890020745122
root_mean_squared_error
0.3714835124201342
root_mean_squared_error
0.28982753492378877
root_mean_squared_error
0.09999999999999999
root_relative_squared_error
0.7340039665232628
root_relative_squared_error
0.28689864769613505
root_relative_squared_error
0.12233399442054377
root_relative_squared_error
0.8863940010071684
root_relative_squared_error
0.4494837967902249
root_relative_squared_error
0.3770586941225645
root_relative_squared_error
0.41485475915696673
root_relative_squared_error
0.7552381788022199
root_relative_squared_error
0.5892288952921921
root_relative_squared_error
0.20330328360524202
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