1852848
2514
Joost Visser
145677
Supervised Classification
area_under_roc_curve
5819
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster))(1)
30607
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
2048
5500
n_jobs
-1
5500
oob_score
False
5500
random_state
None
5500
verbose
0
5500
warm_start
False
5500
criterion
friedman_mse
5626
init
None
5626
learning_rate
0.01
5626
loss
deviance
5626
max_depth
8
5626
max_features
sqrt
5626
max_leaf_nodes
None
5626
min_impurity_split
1e-07
5626
min_samples_leaf
2
5626
min_samples_split
2
5626
min_weight_fraction_leaf
0.0
5626
n_estimators
1024
5626
presort
auto
5626
random_state
None
5626
subsample
1.0
5626
verbose
0
5626
warm_start
False
5626
copy
True
5660
with_mean
True
5660
with_std
True
5660
steps
[('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('votingclassifier', VotingClassifier(estimators=[('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,
...ogistic', reg_alpha=0, reg_lambda=1,
scale_pos_weight=1, seed=0, silent=True, subsample=0.8))],
n_jobs=-1, voting='soft', weights=[2, 4, 3]))]
5819
estimators
[('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=2048, n_jobs=-1, oob_score=False,
random_state=None, verbose=0, warm_start=False)), ('weights', GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
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=1024, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False)), ('n_jobs', AUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0,
learning_rate=0.01, max_delta_step=0, max_depth=8,
min_child_weight=2, mi
5820
n_jobs
AUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0,
learning_rate=0.01, max_delta_step=0, max_depth=8,
min_child_weight=2, missing=None, n_estimators=1024, nthread=1,
objective='binary:logistic', reg_alpha=0, reg_lambda=1,
scale_pos_weight=1, seed=0, silent=True, subsample=0.8)
5820
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=2048, n_jobs=-1, oob_score=False,
random_state=None, verbose=0, warm_start=False)
5820
weights
GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
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=1024, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False)
5820
base_score
0.5
5821
colsample_bylevel
1
5821
colsample_bytree
0.9
5821
gamma
0
5821
learning_rate
0.01
5821
max_delta_step
0
5821
max_depth
8
5821
min_child_weight
2
5821
missing
None
5821
n_estimators
1024
5821
nthread
1
5821
objective
binary:logistic
5821
reg_alpha
0
5821
reg_lambda
1
5821
scale_pos_weight
1
5821
seed
0
5821
silent
True
5821
subsample
0.8
5821
NumPy_1.12.0.
Python_3.6.0.
run_task
SciPy_0.19.0.
sklearn.pipeline.Pipeline
Sklearn_0.18.1.
Thu_Mar_16_23.05.39_2017
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
4654723
description
https://api.openml.org/data/download/4654723/description.xml
-1
4654724
predictions
https://api.openml.org/data/download/4654724/predictions.arff
area_under_roc_curve
0.887189 [0.887189,0.887189]
average_cost
0
f_measure
0.811144 [0.789771,0.829186]
kappa
0.619095
kb_relative_information_score
1865.05603
mean_absolute_error
0.263711
mean_prior_absolute_error
0.496431
number_of_instances
3751 [1717,2034]
precision
0.811358 [0.806804,0.815202]
predictive_accuracy
0.811517
prior_entropy
0.994847
recall
0.811517 [0.773442,0.843658]
relative_absolute_error
0.531214
root_mean_prior_squared_error
0.498211
root_mean_squared_error
0.366344
root_relative_squared_error
0.735319
total_cost
0
area_under_roc_curve
0.886941 [0.886941,0.886941]
area_under_roc_curve
0.883979 [0.883979,0.883979]
area_under_roc_curve
0.892743 [0.892743,0.892743]
area_under_roc_curve
0.921612 [0.921612,0.921612]
area_under_roc_curve
0.898213 [0.898213,0.898213]
area_under_roc_curve
0.871348 [0.871348,0.871348]
area_under_roc_curve
0.873554 [0.873554,0.873554]
area_under_roc_curve
0.893992 [0.893992,0.893992]
area_under_roc_curve
0.891985 [0.891985,0.891985]
area_under_roc_curve
0.860595 [0.860595,0.860595]
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
0.821767 [0.804665,0.836186]
f_measure
0.810176 [0.78806,0.828916]
f_measure
0.807286 [0.783133,0.827751]
f_measure
0.845499 [0.834286,0.855]
f_measure
0.807286 [0.783133,0.827751]
f_measure
0.79713 [0.776471,0.814634]
f_measure
0.791902 [0.77193,0.808824]
f_measure
0.820053 [0.79257,0.843091]
f_measure
0.834023 [0.812121,0.852381]
f_measure
0.775623 [0.75,0.797101]
kappa
0.640853
kappa
0.617198
kappa
0.611287
kappa
0.689366
kappa
0.611287
kappa
0.591152
kappa
0.580765
kappa
0.636612
kappa
0.66485
kappa
0.547219
kb_relative_information_score
189.808876
kb_relative_information_score
182.143986
kb_relative_information_score
185.986907
kb_relative_information_score
206.152802
kb_relative_information_score
187.340928
kb_relative_information_score
180.047968
kb_relative_information_score
181.11804
kb_relative_information_score
186.563988
kb_relative_information_score
193.984166
kb_relative_information_score
171.908369
mean_absolute_error
0.260138
mean_absolute_error
0.269954
mean_absolute_error
0.264325
mean_absolute_error
0.24058
mean_absolute_error
0.262465
mean_absolute_error
0.271362
mean_absolute_error
0.268918
mean_absolute_error
0.26473
mean_absolute_error
0.253978
mean_absolute_error
0.28067
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
0.821736 [0.807018,0.834146]
precision
0.810631 [0.809816,0.811321]
precision
0.808251 [0.8125,0.804651]
precision
0.846098 [0.820225,0.86802]
precision
0.808251 [0.8125,0.804651]
precision
0.797109 [0.785714,0.806763]
precision
0.791848 [0.776471,0.804878]
precision
0.823103 [0.842105,0.807175]
precision
0.835117 [0.842767,0.828704]
precision
0.775647 [0.763636,0.785714]
predictive_accuracy
0.821809
predictive_accuracy
0.810667
predictive_accuracy
0.808
predictive_accuracy
0.845333
predictive_accuracy
0.808
predictive_accuracy
0.797333
predictive_accuracy
0.792
predictive_accuracy
0.821333
predictive_accuracy
0.834667
predictive_accuracy
0.776
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
0.821809 [0.802326,0.838235]
recall
0.810667 [0.767442,0.847291]
recall
0.808 [0.755814,0.852217]
recall
0.845333 [0.848837,0.842365]
recall
0.808 [0.755814,0.852217]
recall
0.797333 [0.767442,0.82266]
recall
0.792 [0.767442,0.812808]
recall
0.821333 [0.748538,0.882353]
recall
0.834667 [0.783626,0.877451]
recall
0.776 [0.736842,0.808824]
relative_absolute_error
0.524043
relative_absolute_error
0.543704
relative_absolute_error
0.532367
relative_absolute_error
0.484542
relative_absolute_error
0.528622
relative_absolute_error
0.546541
relative_absolute_error
0.541618
relative_absolute_error
0.533426
relative_absolute_error
0.511761
relative_absolute_error
0.565543
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
0.367185
root_mean_squared_error
0.369303
root_mean_squared_error
0.364065
root_mean_squared_error
0.332747
root_mean_squared_error
0.358299
root_mean_squared_error
0.378098
root_mean_squared_error
0.37831
root_mean_squared_error
0.359853
root_mean_squared_error
0.362415
root_mean_squared_error
0.390273
root_relative_squared_error
0.737044
root_relative_squared_error
0.741142
root_relative_squared_error
0.730629
root_relative_squared_error
0.667779
root_relative_squared_error
0.719058
root_relative_squared_error
0.758792
root_relative_squared_error
0.759217
root_relative_squared_error
0.722505
root_relative_squared_error
0.727649
root_relative_squared_error
0.783581
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