Run
1852665

Run 1852665

Task 145677 (Supervised Classification) Bioresponse Uploaded 15-03-2017 by Joel Goossens
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  • NumPy_1.11.3. Python_3.6.0. run_task SciPy_0.18.1. sklearn.linear_model.stochastic_gradient.SGDClassifier Sklearn_0.18.1. Wed_Mar_15_21.08.17_2017
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Flow

sklearn.linear_model.stochastic_gradient.SGDClassifier(1)Automatically created sub-component.
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_alpha0.0001
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_averageFalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_class_weightNone
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_eta00.0
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_fit_interceptTrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_l1_ratio0.15
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_learning_rateoptimal
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_losslog
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_n_iter15
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_n_jobs-1
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_penaltyl2
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_random_stateNone
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_shuffleTrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(1)_warm_startTrue

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.

17 Evaluation measures

Area under ROC curve
0.7632
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4066
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1502.6868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2968
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7058
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5978
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5249
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0535
Cross-validation details (10-fold Crossvalidation)