1852582
2572
Xiaolei Wang
145677
Supervised Classification
area_under_roc_curve
5775
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,select=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)
30373
algorithm
auto
5503
leaf_size
30
5503
metric
minkowski
5503
metric_params
None
5503
n_jobs
1
5503
n_neighbors
5
5503
p
2
5503
weights
uniform
5503
axis
0
5508
copy
True
5508
missing_values
NaN
5508
strategy
mean
5508
verbose
0
5508
percentile
5
5654
score_func
<function f_regression at 0x10fa46f28>
5654
copy
True
5750
feature_range
(0, 1)
5750
cv
10
5775
error_score
raise
5775
estimator
Pipeline(steps=[('Imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0)), ('select', SelectPercentile(percentile=5,
score_func=<function f_regression at 0x10fa46f28>)), ('scaler', MinMaxScaler(copy=True, feature_range=(0, 1))), ('Classifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=1, n_neighbors=5, p=2,
weights='uniform'))])
5775
fit_params
{}
5775
iid
True
5775
n_jobs
-1
5775
param_grid
{'Classifier__n_neighbors': [1, 3, 5, 7, 10]}
5775
pre_dispatch
2*n_jobs
5775
refit
True
5775
return_train_score
True
5775
scoring
roc_auc
5775
verbose
0
5775
steps
[('Imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0)), ('select', SelectPercentile(percentile=5,
score_func=<function f_regression at 0x10fa46f28>)), ('scaler', MinMaxScaler(copy=True, feature_range=(0, 1))), ('Classifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=1, n_neighbors=5, p=2,
weights='uniform'))]
5776
NumPy_1.11.3.
Python_3.5.2.
run_task
SciPy_0.18.1.
sklearn.model_selection._search.GridSearchCV
Sklearn_0.18.1.
Wed_Mar_15_15.07.22_2017
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
4654189
description
https://api.openml.org/data/download/4654189/description.xml
-1
4654191
predictions
https://api.openml.org/data/download/4654191/predictions.arff
-1
4654190
trace
https://api.openml.org/data/download/4654190/trace.arff
area_under_roc_curve
0.819476 [0.819476,0.819476]
average_cost
0
f_measure
0.746462 [0.722983,0.766282]
kappa
0.489264
kb_relative_information_score
1429.671388
mean_absolute_error
0.316982
mean_prior_absolute_error
0.496431
number_of_instances
3751 [1717,2034]
precision
0.746456 [0.723193,0.766093]
predictive_accuracy
0.746468
prior_entropy
0.994847
recall
0.746468 [0.722772,0.76647]
relative_absolute_error
0.638522
root_mean_prior_squared_error
0.498211
root_mean_squared_error
0.417469
root_relative_squared_error
0.837936
total_cost
0
area_under_roc_curve
0.813982 [0.813982,0.813982]
area_under_roc_curve
0.827801 [0.827801,0.827801]
area_under_roc_curve
0.816732 [0.816732,0.816732]
area_under_roc_curve
0.82604 [0.82604,0.82604]
area_under_roc_curve
0.827457 [0.827457,0.827457]
area_under_roc_curve
0.814627 [0.814627,0.814627]
area_under_roc_curve
0.824937 [0.824937,0.824937]
area_under_roc_curve
0.807663 [0.807663,0.807663]
area_under_roc_curve
0.839869 [0.839869,0.839869]
area_under_roc_curve
0.789932 [0.789932,0.789932]
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
0.752897 [0.733524,0.769231]
f_measure
0.745405 [0.711246,0.774347]
f_measure
0.742108 [0.703704,0.774648]
f_measure
0.7471 [0.735376,0.757033]
f_measure
0.739091 [0.724719,0.751269]
f_measure
0.736282 [0.731707,0.740157]
f_measure
0.761267 [0.727829,0.789598]
f_measure
0.746156 [0.716418,0.771084]
f_measure
0.768232 [0.74928,0.784119]
f_measure
0.722372 [0.692308,0.747573]
kappa
0.502843
kappa
0.486427
kappa
0.479859
kappa
0.493222
kappa
0.476526
kappa
0.474202
kappa
0.518433
kappa
0.487683
kappa
0.533482
kappa
0.439945
kb_relative_information_score
138.856217
kb_relative_information_score
143.156595
kb_relative_information_score
144.454849
kb_relative_information_score
146.063002
kb_relative_information_score
144.285062
kb_relative_information_score
136.750327
kb_relative_information_score
155.444691
kb_relative_information_score
139.3315
kb_relative_information_score
154.290466
kb_relative_information_score
127.038679
mean_absolute_error
0.323404
mean_absolute_error
0.317333
mean_absolute_error
0.314286
mean_absolute_error
0.3136
mean_absolute_error
0.314133
mean_absolute_error
0.325333
mean_absolute_error
0.300571
mean_absolute_error
0.321524
mean_absolute_error
0.304
mean_absolute_error
0.335619
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
0.753401 [0.723164,0.778894]
precision
0.746567 [0.745223,0.747706]
precision
0.744538 [0.75,0.73991]
precision
0.749921 [0.705882,0.787234]
precision
0.741028 [0.701087,0.774869]
precision
0.743124 [0.685279,0.792135]
precision
0.763059 [0.767742,0.759091]
precision
0.74617 [0.731707,0.758294]
precision
0.768738 [0.738636,0.79397]
precision
0.722242 [0.700599,0.740385]
predictive_accuracy
0.75266
predictive_accuracy
0.746667
predictive_accuracy
0.744
predictive_accuracy
0.746667
predictive_accuracy
0.738667
predictive_accuracy
0.736
predictive_accuracy
0.762667
predictive_accuracy
0.746667
predictive_accuracy
0.768
predictive_accuracy
0.722667
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
0.75266 [0.744186,0.759804]
recall
0.746667 [0.680233,0.802956]
recall
0.744 [0.662791,0.812808]
recall
0.746667 [0.767442,0.729064]
recall
0.738667 [0.75,0.729064]
recall
0.736 [0.784884,0.694581]
recall
0.762667 [0.69186,0.82266]
recall
0.746667 [0.701754,0.784314]
recall
0.768 [0.760234,0.77451]
recall
0.722667 [0.684211,0.754902]
relative_absolute_error
0.651492
relative_absolute_error
0.639129
relative_absolute_error
0.632991
relative_absolute_error
0.63161
relative_absolute_error
0.632684
relative_absolute_error
0.655242
relative_absolute_error
0.60537
relative_absolute_error
0.647863
relative_absolute_error
0.612553
relative_absolute_error
0.676265
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
0.420296
root_mean_squared_error
0.411825
root_mean_squared_error
0.420236
root_mean_squared_error
0.411631
root_mean_squared_error
0.411501
root_mean_squared_error
0.420539
root_mean_squared_error
0.415286
root_mean_squared_error
0.423269
root_mean_squared_error
0.403386
root_mean_squared_error
0.435874
root_relative_squared_error
0.843653
root_relative_squared_error
0.826478
root_relative_squared_error
0.843358
root_relative_squared_error
0.826088
root_relative_squared_error
0.825828
root_relative_squared_error
0.843966
root_relative_squared_error
0.833424
root_relative_squared_error
0.849829
root_relative_squared_error
0.809908
root_relative_squared_error
0.875138
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