1852402
2514
Joost Visser
145677
Supervised Classification
area_under_roc_curve
5756
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier)(1)
30250
bootstrap
True
5500
class_weight
None
5500
criterion
entropy
5500
max_depth
None
5500
max_features
0.1
5500
max_leaf_nodes
None
5500
min_impurity_split
1e-07
5500
min_samples_leaf
2
5500
min_samples_split
2
5500
min_weight_fraction_leaf
0.0
5500
n_estimators
32
5500
n_jobs
1
5500
oob_score
False
5500
random_state
None
5500
verbose
0
5500
warm_start
False
5500
bootstrap
True
5604
class_weight
None
5604
criterion
entropy
5604
max_depth
None
5604
max_features
sqrt
5604
max_leaf_nodes
None
5604
min_impurity_split
1e-07
5604
min_samples_leaf
2
5604
min_samples_split
2
5604
min_weight_fraction_leaf
0.0
5604
n_estimators
32
5604
n_jobs
1
5604
oob_score
False
5604
random_state
None
5604
verbose
0
5604
warm_start
False
5604
estimators
ExtraTreesClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=32, n_jobs=1, oob_score=False, random_state=None,
verbose=0, warm_start=False)
5756
n_jobs
-1
5756
voting
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=32, n_jobs=1, oob_score=False, random_state=None,
verbose=0, warm_start=False)
5756
weights
None
5756
Mon_Mar_13_13.49.27_2017
NumPy_1.12.0.
Python_3.6.0.
run_task
SciPy_0.19.0.
sklearn.ensemble.voting_classifier.VotingClassifier
Sklearn_0.18.1.
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
4653818
description
https://api.openml.org/data/download/4653818/description.xml
-1
4653819
predictions
https://api.openml.org/data/download/4653819/predictions.arff
area_under_roc_curve
0.877948 [0.877948,0.877948]
average_cost
0
f_measure
0.803664 [0.781445,0.822421]
kappa
0.604009
kb_relative_information_score
1535.999071
mean_absolute_error
0.311022
mean_prior_absolute_error
0.496431
number_of_instances
3751 [1717,2034]
precision
0.803858 [0.798299,0.808551]
predictive_accuracy
0.804052
prior_entropy
0.994847
recall
0.804052 [0.765288,0.836775]
relative_absolute_error
0.626516
root_mean_prior_squared_error
0.498211
root_mean_squared_error
0.378515
root_relative_squared_error
0.759748
total_cost
0
area_under_roc_curve
0.874544 [0.874544,0.874544]
area_under_roc_curve
0.868341 [0.868341,0.868341]
area_under_roc_curve
0.8868 [0.8868,0.8868]
area_under_roc_curve
0.910299 [0.910299,0.910299]
area_under_roc_curve
0.891411 [0.891411,0.891411]
area_under_roc_curve
0.867267 [0.867267,0.867267]
area_under_roc_curve
0.864919 [0.864919,0.864919]
area_under_roc_curve
0.877078 [0.877078,0.877078]
area_under_roc_curve
0.888832 [0.888832,0.888832]
area_under_roc_curve
0.852583 [0.852583,0.852583]
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
0.800143 [0.777448,0.819277]
f_measure
0.780145 [0.75,0.805687]
f_measure
0.793644 [0.765957,0.817102]
f_measure
0.842761 [0.829971,0.853598]
f_measure
0.791791 [0.770588,0.809756]
f_measure
0.805191 [0.785924,0.821516]
f_measure
0.796879 [0.77381,0.816425]
f_measure
0.810006 [0.785498,0.830549]
f_measure
0.831414 [0.809668,0.849642]
f_measure
0.78405 [0.763848,0.800983]
kappa
0.596866
kappa
0.556507
kappa
0.583736
kappa
0.68359
kappa
0.580392
kappa
0.607465
kappa
0.590423
kappa
0.616382
kappa
0.659607
kappa
0.564834
kb_relative_information_score
155.069596
kb_relative_information_score
146.3813
kb_relative_information_score
154.413123
kb_relative_information_score
170.823969
kb_relative_information_score
155.106017
kb_relative_information_score
150.274694
kb_relative_information_score
152.82963
kb_relative_information_score
145.950811
kb_relative_information_score
162.941501
kb_relative_information_score
142.20843
mean_absolute_error
0.308916
mean_absolute_error
0.319468
mean_absolute_error
0.310412
mean_absolute_error
0.290778
mean_absolute_error
0.308389
mean_absolute_error
0.315769
mean_absolute_error
0.310875
mean_absolute_error
0.322072
mean_absolute_error
0.299036
mean_absolute_error
0.324511
mean_prior_absolute_error
0.496406
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496509
mean_prior_absolute_error
0.496284
mean_prior_absolute_error
0.496284
mean_prior_absolute_error
0.496284
number_of_instances
376 [172,204]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
precision
0.800313 [0.793939,0.805687]
precision
0.781854 [0.788462,0.776256]
precision
0.795209 [0.802548,0.788991]
precision
0.842964 [0.822857,0.86]
precision
0.791764 [0.779762,0.801932]
precision
0.805152 [0.792899,0.815534]
precision
0.797157 [0.792683,0.800948]
precision
0.81076 [0.8125,0.809302]
precision
0.832281 [0.8375,0.827907]
precision
0.78411 [0.761628,0.802956]
predictive_accuracy
0.800532
predictive_accuracy
0.781333
predictive_accuracy
0.794667
predictive_accuracy
0.842667
predictive_accuracy
0.792
predictive_accuracy
0.805333
predictive_accuracy
0.797333
predictive_accuracy
0.810667
predictive_accuracy
0.832
predictive_accuracy
0.784
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
prior_entropy
0.994847
recall
0.800532 [0.761628,0.833333]
recall
0.781333 [0.715116,0.837438]
recall
0.794667 [0.732558,0.847291]
recall
0.842667 [0.837209,0.847291]
recall
0.792 [0.761628,0.817734]
recall
0.805333 [0.77907,0.827586]
recall
0.797333 [0.755814,0.832512]
recall
0.810667 [0.760234,0.852941]
recall
0.832 [0.783626,0.872549]
recall
0.784 [0.766082,0.79902]
relative_absolute_error
0.622305
relative_absolute_error
0.643429
relative_absolute_error
0.625189
relative_absolute_error
0.585646
relative_absolute_error
0.621115
relative_absolute_error
0.635979
relative_absolute_error
0.626121
relative_absolute_error
0.648968
relative_absolute_error
0.602552
relative_absolute_error
0.653882
root_mean_prior_squared_error
0.498186
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498289
root_mean_prior_squared_error
0.498063
root_mean_prior_squared_error
0.498063
root_mean_prior_squared_error
0.498063
root_mean_squared_error
0.379216
root_mean_squared_error
0.387183
root_mean_squared_error
0.373647
root_mean_squared_error
0.354442
root_mean_squared_error
0.371154
root_mean_squared_error
0.385558
root_mean_squared_error
0.385855
root_mean_squared_error
0.381378
root_mean_squared_error
0.370033
root_mean_squared_error
0.395108
root_relative_squared_error
0.761194
root_relative_squared_error
0.777024
root_relative_squared_error
0.749859
root_relative_squared_error
0.711317
root_relative_squared_error
0.744857
root_relative_squared_error
0.773763
root_relative_squared_error
0.774359
root_relative_squared_error
0.765723
root_relative_squared_error
0.742944
root_relative_squared_error
0.793288
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