9198577
1935
Hilde Weerts
146818
Supervised Classification
8365
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))(1)
7129048
categorical_features
[0, 3, 4, 5, 7, 8, 10, 11]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
true
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
"auto"
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
1
7684
min_samples_split
2
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
10
7684
n_jobs
1
7684
oob_score
false
7684
random_state
6364
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[0, 3, 4, 5, 7, 8, 10, 11]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
cv
5
8365
error_score
"raise"
8365
fit_params
null
8365
iid
true
8365
n_iter
100
8365
n_jobs
-1
8365
param_distributions
{"clf__bootstrap": [true, false], "clf__criterion": ["gini", "entropy"], "clf__max_features": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": 0, "scale": 1}}}, "clf__min_samples_leaf": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 20, "args": [], "kwds": {"low": 1, "high": 21}}}, "clf__min_samples_split": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 2, "b": 20, "args": [], "kwds": {"low": 2, "high": 21}}}, "clf__n_estimators": [300], "clf__random_state": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 100000, "args": [], "kwds": {"low": 1, "high": 100001}}}}
8365
pre_dispatch
"2*n_jobs"
8365
random_state
458485
8365
refit
true
8365
return_train_score
"warn"
8365
scoring
null
8365
verbose
1
8365
openml-python
Sklearn_0.19.1.
study_98
40981
Australian
https://www.openml.org/data/download/18151910/phpelnJ6y
-1
19322429
description
https://api.openml.org/data/download/19322429/description.xml
-1
19322430
predictions
https://api.openml.org/data/download/19322430/predictions.arff
-1
19322431
trace
https://api.openml.org/data/download/19322431/trace.arff
area_under_roc_curve
0.9279111630600871 [0.927909,0.927914]
average_cost
0
f_measure
0.8697477039868344 [0.880952,0.855769]
kappa
0.7367774094827951
kb_relative_information_score
426.7554840236405
mean_absolute_error
0.20104396571916097
mean_prior_absolute_error
0.49395157912373167
number_of_instances
690 [383,307]
precision
0.8702969579815433 [0.892761,0.842271]
predictive_accuracy
0.8695652173913043
prior_entropy
0.9912816166382369
recall
0.8695652173913043 [0.869452,0.869707]
relative_absolute_error
0.407011484963389
root_mean_prior_squared_error
0.49695779405224244
root_mean_squared_error
0.3152102611227935
root_relative_squared_error
0.6342797414495468
total_cost
0
area_under_roc_curve
0.9456706281833618 [0.945671,0.945671]
area_under_roc_curve
0.9151103565365026 [0.91511,0.91511]
area_under_roc_curve
0.8989813242784381 [0.898981,0.898981]
area_under_roc_curve
0.9252971137521222 [0.925297,0.925297]
area_under_roc_curve
0.9592529711375214 [0.959253,0.959253]
area_under_roc_curve
0.969439728353141 [0.96944,0.96944]
area_under_roc_curve
0.9142614601018676 [0.914261,0.914261]
area_under_roc_curve
0.941880341880342 [0.94188,0.94188]
area_under_roc_curve
0.941025641025641 [0.941026,0.941026]
area_under_roc_curve
0.9128205128205128 [0.912821,0.912821]
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
0.8843027810419114 [0.891892,0.875]
f_measure
0.8385079714853424 [0.864198,0.807018]
f_measure
0.8409148379352471 [0.84507,0.835821]
f_measure
0.8842041164291804 [0.885714,0.882353]
f_measure
0.9130434782608695 [0.921053,0.903226]
f_measure
0.8843027810419114 [0.891892,0.875]
f_measure
0.8843027810419114 [0.891892,0.875]
f_measure
0.8840579710144928 [0.897436,0.866667]
f_measure
0.8675651221486738 [0.891566,0.836364]
f_measure
0.8123119392684611 [0.826667,0.793651]
kappa
0.7670886075949368
kappa
0.6729857819905213
kappa
0.6825595984943537
kappa
0.7698081734778984
kappa
0.8242784380305602
kappa
0.7670886075949368
kappa
0.7670886075949368
kappa
0.7641025641025642
kappa
0.7294117647058823
kappa
0.6210392902408113
kb_relative_information_score
48.70199380785138
kb_relative_information_score
39.50636627175544
kb_relative_information_score
42.9234219885596
kb_relative_information_score
40.73105856612116
kb_relative_information_score
47.085911124820896
kb_relative_information_score
45.609780706374906
kb_relative_information_score
41.2246051551817
kb_relative_information_score
46.27833241146225
kb_relative_information_score
33.75117968808311
kb_relative_information_score
40.9428343034298
mean_absolute_error
0.155419139636531
mean_absolute_error
0.2274960005162989
mean_absolute_error
0.19370614235469308
mean_absolute_error
0.21594097461851083
mean_absolute_error
0.17085372182835942
mean_absolute_error
0.1809565809928129
mean_absolute_error
0.21247167244993334
mean_absolute_error
0.173181100836898
mean_absolute_error
0.2749746923410454
mean_absolute_error
0.2054396316165285
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.4928373963307357
mean_prior_absolute_error
0.4928373963307357
mean_prior_absolute_error
0.4928373963307357
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [39,30]
number_of_instances
69 [39,30]
number_of_instances
69 [39,30]
precision
0.8860342555994729 [0.916667,0.848485]
precision
0.8457001374089341 [0.813953,0.884615]
precision
0.8500951544429806 [0.909091,0.777778]
precision
0.8977918135526831 [0.96875,0.810811]
precision
0.9130434782608695 [0.921053,0.903226]
precision
0.8860342555994729 [0.916667,0.848485]
precision
0.8860342555994729 [0.916667,0.848485]
precision
0.8840579710144928 [0.897436,0.866667]
precision
0.8752964426877471 [0.840909,0.92]
precision
0.8160957400087835 [0.861111,0.757576]
predictive_accuracy
0.8840579710144928
predictive_accuracy
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predictive_accuracy
0.8405797101449275
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.9130434782608695
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.8695652173913043
predictive_accuracy
0.8115942028985508
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
recall
0.8840579710144928 [0.868421,0.903226]
recall
0.8405797101449275 [0.921053,0.741935]
recall
0.8405797101449275 [0.789474,0.903226]
recall
0.8840579710144928 [0.815789,0.967742]
recall
0.9130434782608695 [0.921053,0.903226]
recall
0.8840579710144928 [0.868421,0.903226]
recall
0.8840579710144928 [0.868421,0.903226]
recall
0.8840579710144928 [0.897436,0.866667]
recall
0.8695652173913043 [0.948718,0.766667]
recall
0.8115942028985508 [0.794872,0.833333]
relative_absolute_error
0.31434060824148985
relative_absolute_error
0.46011856288767594
relative_absolute_error
0.391777401099284
relative_absolute_error
0.4367481216572632
relative_absolute_error
0.34555758682906285
relative_absolute_error
0.36599097040176387
relative_absolute_error
0.4297313375186136
relative_absolute_error
0.35139602255482816
relative_absolute_error
0.5579420197985829
relative_absolute_error
0.41685073646209486
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4958355234110141
root_mean_prior_squared_error
0.4958355234110141
root_mean_prior_squared_error
0.4958355234110141
root_mean_squared_error
0.28397272795580736
root_mean_squared_error
0.32831420686556173
root_mean_squared_error
0.34823952859942536
root_mean_squared_error
0.3329600594667837
root_mean_squared_error
0.2848768082744707
root_mean_squared_error
0.2720257881720953
root_mean_squared_error
0.3294522275406554
root_mean_squared_error
0.2905865401255427
root_mean_squared_error
0.3289962726022924
root_mean_squared_error
0.3415267307198116
root_relative_squared_error
0.5708706059206115
root_relative_squared_error
0.66001031702895
root_relative_squared_error
0.7000662075127151
root_relative_squared_error
0.6693498782909392
root_relative_squared_error
0.5726880793203689
root_relative_squared_error
0.5468536631588187
root_relative_squared_error
0.6622980809174668
root_relative_squared_error
0.58605429906777
root_relative_squared_error
0.6635189635849805
root_relative_squared_error
0.6887903641319162
total_cost
0
total_cost
0
total_cost
0
total_cost
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0
total_cost
0
total_cost
0
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0
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0
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0