Run
6125842

Run 6125842

Task 2075 (Supervised Classification) abalone Uploaded 19-08-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C2.952009491940959
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.28167351528882967
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.002059817214909133
sklearn.svm.classes.SVC(8)_kernel"sigmoid"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state7342
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.040052590291166375
sklearn.svm.classes.SVC(8)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

15 Evaluation measures

0.6939 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.6820.6840.6860.6880.690.6920.6940.6960.6980.70.7020.7040.7060.7080.710.7120.7140.7160.718
0.0972 ± 0.0169
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.06250.0650.06750.070.07250.0750.07750.080.08250.0850.08750.090.09250.0950.09750.10.10250.1050.10750.110.11250.1150.11750.120.12250.1…0.125
654.7588 ± 2.0081
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore06161.2561.561.756262.2562.562.756363.2563.563.756464.2564.564.756565.2565.565.756666.2566.566.756767.2567.567.756868.2568.568.7569
0.0613 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.060850.06090.060950.0610.061050.06110.061150.06120.061250.06130.061350.06140.061450.06150.061550.06160.061650.06170.061…0.06175
0.0618 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.0618
4177
Per class
Cross-validation details (10-fold Crossvalidation)
0.1906 ± 0.0186
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.15750.160.16250.1650.16750.170.17250.1750.17750.180.18250.1850.18750.190.19250.1950.19750.20.20250.2050.20750.210.21250.2150.2…0.2175
3.6268
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore03.6268
0.1906 ± 0.0186
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.15750.160.16250.1650.16750.170.17250.1750.17750.180.18250.1850.18750.190.19250.1950.19750.20.20250.2050.20750.210.21250.2150.2…0.2175
0.9921 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.98450.9850.98550.9860.98650.9870.98750.9880.98850.9890.98950.990.99050.9910.99150.9920.99250.9930.99350.9940.99450.9950.99550.9960.99650.9970.99750.9980.99850.9990.99951
0.1757 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.175580.175590.17560.175610.175620.175630.175640.175650.175660.175670.175680.175690.17570.175710.175720.175730.175740.175750.175760.175770.175780.175790.17580.1…0.17581
0.1746 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.17380.17390.1740.17410.17420.17430.17440.17450.17460.17470.17480.17490.1750.17510.17520.17530.17540.17550.17560.1757
0.9938 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.98850.9890.98950.990.99050.9910.99150.9920.99250.9930.99350.9940.99450.9950.99550.9960.99650.9970.99750.9980.99850.9990.99…0.9995
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