9917395
6892
Scikit-learn Bot
14
Supervised Classification
8834
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)
7846771
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"mean"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
8841
sparse
true
8841
threshold
0.0
8842
criterion
"friedman_mse"
8843
init
null
8843
learning_rate
0.17910382792951768
8843
loss
"deviance"
8843
max_depth
10
8843
max_features
0.4983741823126401
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.46130901274591296
8843
min_impurity_split
null
8843
min_samples_leaf
7
8843
min_samples_split
2
8843
min_weight_fraction_leaf
0.40287999595442037
8843
n_estimators
364
8843
n_iter_no_change
770
8843
presort
"auto"
8843
random_state
53407
8843
subsample
0.4432838101303195
8843
tol
1.6060428569693286e-05
8843
validation_fraction
0.3501050492082829
8843
verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
20755258
description
https://www.openml.org/data/download/20755258/description.xml
-1
20755259
predictions
https://www.openml.org/data/download/20755259/predictions.arff
area_under_roc_curve
0.9629291666666668 [0.999981,0.915086,0.98905,0.9788,0.936747,0.980317,0.931381,0.983944,0.9918,0.922186]
average_cost
0
f_measure
0.7634346560702144 [0.992519,0.653846,0.893939,0.825,0.675258,0.826733,0.508314,0.826667,0.951654,0.480418]
kappa
0.7388888888888889
kb_relative_information_score
1411.0687715798617
mean_absolute_error
0.08134524551763761
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7658963746913033 [0.99005,0.72561,0.903061,0.825,0.696809,0.818627,0.484163,0.744,0.968912,0.502732]
predictive_accuracy
0.765
prior_entropy
3.321928094887362
recall
0.765 [0.995,0.595,0.885,0.825,0.655,0.835,0.535,0.93,0.935,0.46]
relative_absolute_error
0.45191803065352837
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18497694969902487
root_relative_squared_error
0.6165898323300734
total_cost
0
area_under_roc_curve
0.9693333333333333 [1,0.945,0.988056,0.989722,0.948889,0.998333,0.908056,0.985833,0.997778,0.931667]
area_under_roc_curve
0.9588055555555555 [1,0.9075,0.996389,0.973611,0.903611,0.976111,0.941389,0.983056,0.978333,0.928056]
area_under_roc_curve
0.9535277777777779 [1,0.905,0.999444,0.933889,0.944722,0.978333,0.881944,0.980278,1,0.911667]
area_under_roc_curve
0.9620555555555558 [1,0.903611,0.972222,0.992222,0.963056,0.960278,0.961389,0.986389,0.975556,0.905833]
area_under_roc_curve
0.9577500000000001 [1,0.868611,0.985556,0.972778,0.9325,0.983056,0.940278,0.981111,1,0.913611]
area_under_roc_curve
0.9694166666666669 [1,0.9325,0.998889,0.988611,0.937222,0.9875,0.945278,0.986667,0.999167,0.918333]
area_under_roc_curve
0.964 [1,0.891111,0.986389,0.987778,0.955,0.969722,0.950833,0.985278,1,0.913889]
area_under_roc_curve
0.9737222222222224 [1,0.952222,0.998889,1,0.943889,0.99,0.922778,0.986667,0.997222,0.945556]
area_under_roc_curve
0.9685277777777778 [1,0.925833,0.997222,0.995,0.949722,0.967222,0.936111,0.990833,0.999722,0.923611]
area_under_roc_curve
0.959388888888889 [1,0.9225,0.979167,0.966667,0.89,0.992778,0.937778,0.991111,0.973889,0.94]
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
0.7597715557934902 [1,0.75,0.878049,0.769231,0.782609,0.947368,0.380952,0.842105,0.923077,0.324324]
f_measure
0.74821765569131 [1,0.685714,0.894737,0.809524,0.615385,0.829268,0.465116,0.8,0.95,0.432432]
f_measure
0.7342100044498767 [0.974359,0.578947,0.918919,0.769231,0.631579,0.790698,0.416667,0.829268,1,0.432432]
f_measure
0.7795791852184962 [1,0.555556,0.864865,0.857143,0.744186,0.789474,0.634146,0.790698,0.974359,0.585366]
f_measure
0.7257444616867109 [1,0.571429,0.923077,0.75,0.594595,0.765957,0.444444,0.77551,1,0.432432]
f_measure
0.7598573640610944 [0.97561,0.764706,0.926829,0.761905,0.615385,0.878049,0.571429,0.863636,0.974359,0.266667]
f_measure
0.7876989540669286 [1,0.611111,0.864865,0.878049,0.702703,0.829268,0.55,0.869565,1,0.571429]
f_measure
0.794254748036073 [1,0.731707,0.926829,0.923077,0.717949,0.810811,0.526316,0.869565,0.864865,0.571429]
f_measure
0.7672002818525375 [1,0.5625,0.904762,0.904762,0.611111,0.789474,0.486486,0.816327,0.974359,0.622222]
f_measure
0.7614147594437894 [0.97561,0.702703,0.837209,0.823529,0.705882,0.85,0.595745,0.816327,0.85,0.457143]
kappa
0.7333333333333334
kappa
0.7222222222222222
kappa
0.7
kappa
0.7555555555555555
kappa
0.7055555555555556
kappa
0.7444444444444445
kappa
0.7666666666666667
kappa
0.7722222222222223
kappa
0.75
kappa
0.7388888888888889
kb_relative_information_score
143.3432761735967
kb_relative_information_score
140.47160770641628
kb_relative_information_score
136.85417089224657
kb_relative_information_score
139.43094194729116
kb_relative_information_score
137.47583562897364
kb_relative_information_score
141.69728295107757
kb_relative_information_score
143.6364020545187
kb_relative_information_score
147.48595667968627
kb_relative_information_score
140.4311211441309
kb_relative_information_score
140.24217640192262
mean_absolute_error
0.08091168357375363
mean_absolute_error
0.08154996381278924
mean_absolute_error
0.08446904810955702
mean_absolute_error
0.08198576288364044
mean_absolute_error
0.08427284374960936
mean_absolute_error
0.08161783413952406
mean_absolute_error
0.07936360342171885
mean_absolute_error
0.07731643764235624
mean_absolute_error
0.0819341868962946
mean_absolute_error
0.0800310909471313
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
0.7641759083709547 [1,0.75,0.857143,0.789474,0.692308,1,0.363636,0.888889,0.947368,0.352941]
precision
0.7533645318053718 [1,0.8,0.944444,0.772727,0.631579,0.809524,0.434783,0.72,0.95,0.470588]
precision
0.7443636798731695 [1,0.611111,1,0.789474,0.666667,0.73913,0.357143,0.809524,1,0.470588]
precision
0.7842950421275229 [1,0.625,0.941176,0.818182,0.695652,0.833333,0.619048,0.73913,1,0.571429]
precision
0.7303521227002596 [1,0.666667,0.947368,0.75,0.647059,0.666667,0.5,0.655172,1,0.470588]
precision
0.7676134104854612 [0.952381,0.928571,0.904762,0.727273,0.631579,0.857143,0.482759,0.791667,1,0.4]
precision
0.7924734334293159 [1,0.6875,0.941176,0.857143,0.764706,0.809524,0.55,0.769231,1,0.545455]
precision
0.7997028427368984 [1,0.714286,0.904762,0.947368,0.736842,0.882353,0.555556,0.769231,0.941176,0.545455]
precision
0.7777172997725736 [1,0.75,0.863636,0.863636,0.6875,0.833333,0.529412,0.689655,1,0.56]
precision
0.7798345411794568 [0.952381,0.764706,0.782609,1,0.857143,0.85,0.518519,0.689655,0.85,0.533333]
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.735
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.795
predictive_accuracy
0.775
predictive_accuracy
0.765
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
0.76 [1,0.75,0.9,0.75,0.9,0.9,0.4,0.8,0.9,0.3]
recall
0.75 [1,0.6,0.85,0.85,0.6,0.85,0.5,0.9,0.95,0.4]
recall
0.73 [0.95,0.55,0.85,0.75,0.6,0.85,0.5,0.85,1,0.4]
recall
0.78 [1,0.5,0.8,0.9,0.8,0.75,0.65,0.85,0.95,0.6]
recall
0.735 [1,0.5,0.9,0.75,0.55,0.9,0.4,0.95,1,0.4]
recall
0.77 [1,0.65,0.95,0.8,0.6,0.9,0.7,0.95,0.95,0.2]
recall
0.79 [1,0.55,0.8,0.9,0.65,0.85,0.55,1,1,0.6]
recall
0.795 [1,0.75,0.95,0.9,0.7,0.75,0.5,1,0.8,0.6]
recall
0.775 [1,0.45,0.95,0.95,0.55,0.75,0.45,1,0.95,0.7]
recall
0.765 [1,0.65,0.9,0.7,0.6,0.85,0.7,1,0.85,0.4]
relative_absolute_error
0.44950935318752067
relative_absolute_error
0.4530553545154962
relative_absolute_error
0.4692724894975395
relative_absolute_error
0.45547646046466966
relative_absolute_error
0.46818246527560803
relative_absolute_error
0.45343241188624533
relative_absolute_error
0.44090890789843845
relative_absolute_error
0.42953576467975735
relative_absolute_error
0.45518992720163726
relative_absolute_error
0.4446171719285077
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
0.1819110953046211
root_mean_squared_error
0.18941594249089355
root_mean_squared_error
0.1918485604889279
root_mean_squared_error
0.18717900720278574
root_mean_squared_error
0.19273235349145654
root_mean_squared_error
0.1825885240220152
root_mean_squared_error
0.18039687368965268
root_mean_squared_error
0.1742607847765178
root_mean_squared_error
0.1834814065370999
root_mean_squared_error
0.18518426919197756
root_relative_squared_error
0.6063703176820707
root_relative_squared_error
0.6313864749696456
root_relative_squared_error
0.63949520162976
root_relative_squared_error
0.6239300240092862
root_relative_squared_error
0.6424411783048555
root_relative_squared_error
0.6086284134067177
root_relative_squared_error
0.6013229122988426
root_relative_squared_error
0.580869282588393
root_relative_squared_error
0.611604688457
root_relative_squared_error
0.6172808973065922
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
5567.048354001599
usercpu_time_millis
5556.3186399958795
usercpu_time_millis
5565.279689995805
usercpu_time_millis
5573.366656004509
usercpu_time_millis
5567.835024994565
usercpu_time_millis
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usercpu_time_millis
5572.820832996513
usercpu_time_millis
5624.164731001656
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
7.429667995893396
usercpu_time_millis_testing
7.040607997623738
usercpu_time_millis_testing
7.763634996081237
usercpu_time_millis_testing
7.08685300196521
usercpu_time_millis_testing
7.477460996597074
usercpu_time_millis_testing
7.202132997917943
usercpu_time_millis_testing
7.607325998833403
usercpu_time_millis_testing
7.515776997024659
usercpu_time_millis_testing
7.413993000227492
usercpu_time_millis_testing
7.108055004209746
usercpu_time_millis_training
5559.618686005706
usercpu_time_millis_training
5549.278031998256
usercpu_time_millis_training
5557.516054999724
usercpu_time_millis_training
5566.279803002544
usercpu_time_millis_training
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usercpu_time_millis_training
5557.870693002769
usercpu_time_millis_training
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usercpu_time_millis_training
5616.648954004631
usercpu_time_millis_training
5560.831322000013
usercpu_time_millis_training
5545.995227999811