5088579
1
Jan van Rijn
14
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
3123715
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
1062.105598199822
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.19767571062062905
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.001183080582898074
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
30325
6953
shrinking
true
6953
tol
0.004295498616420595
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
11111189
description
https://api.openml.org/data/download/11111189/description.xml
-1
11111188
predictions
https://api.openml.org/data/download/11111188/predictions.arff
area_under_roc_curve
0.9831752777777778 [1,0.970739,0.997125,0.994828,0.976744,0.995722,0.954208,0.991597,0.999389,0.9514]
average_cost
0
f_measure
0.8330525490578459 [0.997506,0.78,0.955,0.897436,0.811083,0.927681,0.556122,0.88361,0.979798,0.542289]
kappa
0.8150000000000001
kb_relative_information_score
1671.8883747151497
mean_absolute_error
0.047673784816827214
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8332446696150665 [0.995025,0.78,0.955,0.921053,0.817259,0.925373,0.567708,0.841629,0.989796,0.539604]
predictive_accuracy
0.8334999999999999
prior_entropy
3.321928094887362
recall
0.8335 [1,0.78,0.955,0.875,0.805,0.93,0.545,0.93,0.97,0.545]
relative_absolute_error
0.26485436009347635
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.14712239904553814
root_relative_squared_error
0.490407996818453
total_cost
0
area_under_roc_curve
0.9824166666666666 [1,0.983611,0.999167,0.998611,0.976944,1,0.929444,0.993056,1,0.943333]
area_under_roc_curve
0.9834166666666667 [1,0.968333,0.998889,0.994722,0.962222,0.993889,0.963889,0.989444,0.999722,0.963056]
area_under_roc_curve
0.9810277777777778 [1,0.973333,1,0.984167,0.982778,0.996389,0.923056,0.983611,1,0.966944]
area_under_roc_curve
0.9896944444444444 [1,0.9825,0.998333,0.999722,0.992222,0.998056,0.973889,0.994167,0.998333,0.959722]
area_under_roc_curve
0.98275 [1,0.968056,0.998056,0.984444,0.975833,0.993333,0.9625,0.994722,1,0.950556]
area_under_roc_curve
0.9855555555555554 [1,0.969444,0.998611,0.997778,0.984722,0.997778,0.963611,0.9925,1,0.951111]
area_under_roc_curve
0.9868888888888889 [1,0.98,0.994167,0.998889,0.985833,0.993333,0.973056,0.988056,1,0.955556]
area_under_roc_curve
0.9841666666666667 [1,0.936944,0.994444,0.995833,0.979167,0.997778,0.968333,0.994722,0.998333,0.976111]
area_under_roc_curve
0.9830555555555555 [1,0.977222,1,0.998611,0.983056,0.985278,0.958611,0.995833,1,0.931944]
area_under_roc_curve
0.9790000000000001 [1,0.981111,0.990556,0.998056,0.961667,1,0.939167,0.99,0.996389,0.933056]
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
0.8038694422790533 [1,0.782609,0.95,0.888889,0.857143,1,0.358974,0.842105,1,0.358974]
f_measure
0.8305987015840135 [1,0.8,0.95,0.871795,0.789474,0.9,0.619048,0.837209,0.974359,0.564103]
f_measure
0.827720039231667 [1,0.75,1,0.820513,0.837209,0.857143,0.540541,0.871795,1,0.6]
f_measure
0.8498786529092942 [1,0.789474,0.974359,0.952381,0.826087,0.923077,0.631579,0.842105,0.974359,0.585366]
f_measure
0.8111649092136897 [1,0.702703,0.974359,0.85,0.769231,0.904762,0.540541,0.844444,0.97561,0.55]
f_measure
0.8432621721453556 [1,0.820513,0.952381,0.894737,0.820513,0.926829,0.590909,0.952381,0.974359,0.5]
f_measure
0.826426138011147 [1,0.769231,0.947368,0.9,0.789474,0.926829,0.604651,0.869565,1,0.457143]
f_measure
0.8498632933856984 [1,0.761905,0.95,0.923077,0.810811,0.923077,0.634146,0.930233,0.95,0.615385]
f_measure
0.8679135811039279 [1,0.810811,0.97561,0.97561,0.871795,0.947368,0.529412,0.930233,1,0.638298]
f_measure
0.811333737864407 [0.97561,0.809524,0.878049,0.888889,0.722222,0.974359,0.486486,0.909091,0.947368,0.521739]
kappa
0.7833333333333334
kappa
0.8111111111111111
kappa
0.8111111111111111
kappa
0.8333333333333333
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.8111111111111111
kappa
0.8333333333333333
kappa
0.8555555555555555
kappa
0.788888888888889
kb_relative_information_score
167.68327522257732
kb_relative_information_score
165.57494061187037
kb_relative_information_score
165.17330242921642
kb_relative_information_score
169.56856042835054
kb_relative_information_score
164.3117957011765
kb_relative_information_score
169.91472396274287
kb_relative_information_score
168.15769450038897
kb_relative_information_score
167.88433130684018
kb_relative_information_score
169.97340896010815
kb_relative_information_score
163.64634159187727
mean_absolute_error
0.04756761018273875
mean_absolute_error
0.04980038873771015
mean_absolute_error
0.049346737861180705
mean_absolute_error
0.045086938845514346
mean_absolute_error
0.04944520356101588
mean_absolute_error
0.04513569679939542
mean_absolute_error
0.04662441804408507
mean_absolute_error
0.04767507561993084
mean_absolute_error
0.04452627939960282
mean_absolute_error
0.05152949911709793
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8086220504641557 [1,0.692308,0.95,1,0.818182,1,0.368421,0.888889,1,0.368421]
precision
0.8330535330420914 [1,0.8,0.95,0.894737,0.833333,0.9,0.590909,0.782609,1,0.578947]
precision
0.8275867913214797 [1,0.75,1,0.842105,0.782609,0.818182,0.588235,0.894737,1,0.6]
precision
0.8547546021230231 [1,0.833333,1,0.909091,0.730769,0.947368,0.666667,0.888889,1,0.571429]
precision
0.8118432176698431 [1,0.764706,1,0.85,0.789474,0.863636,0.588235,0.76,0.952381,0.55]
precision
0.8455765360370623 [1,0.842105,0.909091,0.944444,0.842105,0.904762,0.541667,0.909091,1,0.5625]
precision
0.8295350416174213 [1,0.789474,1,0.9,0.833333,0.904762,0.565217,0.769231,1,0.533333]
precision
0.8524554294361805 [1,0.727273,0.95,0.947368,0.882353,0.947368,0.619048,0.869565,0.95,0.631579]
precision
0.8749829603847641 [1,0.882353,0.952381,0.952381,0.894737,1,0.642857,0.869565,1,0.555556]
precision
0.8219034641828759 [0.952381,0.772727,0.857143,1,0.8125,1,0.529412,0.833333,1,0.461538]
predictive_accuracy
0.805
predictive_accuracy
0.83
predictive_accuracy
0.83
predictive_accuracy
0.85
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.83
predictive_accuracy
0.85
predictive_accuracy
0.87
predictive_accuracy
0.81
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.805 [1,0.9,0.95,0.8,0.9,1,0.35,0.8,1,0.35]
recall
0.83 [1,0.8,0.95,0.85,0.75,0.9,0.65,0.9,0.95,0.55]
recall
0.83 [1,0.75,1,0.8,0.9,0.9,0.5,0.85,1,0.6]
recall
0.85 [1,0.75,0.95,1,0.95,0.9,0.6,0.8,0.95,0.6]
recall
0.815 [1,0.65,0.95,0.85,0.75,0.95,0.5,0.95,1,0.55]
recall
0.845 [1,0.8,1,0.85,0.8,0.95,0.65,1,0.95,0.45]
recall
0.83 [1,0.75,0.9,0.9,0.75,0.95,0.65,1,1,0.4]
recall
0.85 [1,0.8,0.95,0.9,0.75,0.9,0.65,1,0.95,0.6]
recall
0.87 [1,0.75,1,1,0.85,0.9,0.45,1,1,0.75]
recall
0.81 [1,0.85,0.9,0.8,0.65,0.95,0.45,1,0.9,0.6]
relative_absolute_error
0.2642645010152156
relative_absolute_error
0.27666882632061224
relative_absolute_error
0.27414854367322644
relative_absolute_error
0.25048299358619114
relative_absolute_error
0.2746955753389774
relative_absolute_error
0.25075387110775266
relative_absolute_error
0.2590245446893618
relative_absolute_error
0.2648615312218383
relative_absolute_error
0.2473682188866826
relative_absolute_error
0.28627499509498877
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.14618464563488148
root_mean_squared_error
0.15304111300821974
root_mean_squared_error
0.14967471538678812
root_mean_squared_error
0.14112130314853702
root_mean_squared_error
0.15586177593978973
root_mean_squared_error
0.13997431455756135
root_mean_squared_error
0.14354338320565535
root_mean_squared_error
0.14645141859329
root_mean_squared_error
0.13840926330984196
root_mean_squared_error
0.15570863982273994
root_relative_squared_error
0.48728215211627185
root_relative_squared_error
0.5101370433607327
root_relative_squared_error
0.4989157179559606
root_relative_squared_error
0.47040434382845703
root_relative_squared_error
0.5195392531326327
root_relative_squared_error
0.4665810485252047
root_relative_squared_error
0.47847794401885146
root_relative_squared_error
0.4881713953109669
root_relative_squared_error
0.46136421103280684
root_relative_squared_error
0.5190287994091335
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
usercpu_time_millis
10125.43353000001
usercpu_time_millis
10130.978348000099
usercpu_time_millis
10179.646751999826
usercpu_time_millis
10141.892450999876
usercpu_time_millis
10112.018665999813
usercpu_time_millis
10060.076498999933
usercpu_time_millis
10077.346508000119
usercpu_time_millis
9986.452490999682
usercpu_time_millis
10007.998326000234
usercpu_time_millis
7889.219781000065
usercpu_time_millis_testing
106.39585199987778
usercpu_time_millis_testing
109.13060699999733
usercpu_time_millis_testing
111.05746499993074
usercpu_time_millis_testing
110.2677029998631
usercpu_time_millis_testing
109.54860499987262
usercpu_time_millis_testing
109.18474400000377
usercpu_time_millis_testing
109.22359100004542
usercpu_time_millis_testing
108.94961099984357
usercpu_time_millis_testing
110.31506400013313
usercpu_time_millis_testing
89.6131009999408
usercpu_time_millis_training
10019.037678000132
usercpu_time_millis_training
10021.847741000101
usercpu_time_millis_training
10068.589286999895
usercpu_time_millis_training
10031.624748000013
usercpu_time_millis_training
10002.47006099994
usercpu_time_millis_training
9950.89175499993
usercpu_time_millis_training
9968.122917000073
usercpu_time_millis_training
9877.502879999838
usercpu_time_millis_training
9897.6832620001
usercpu_time_millis_training
7799.6066800001245