Run
1982375

Run 1982375

Task 21 (Supervised Classification) car Uploaded 04-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Tue_Apr__4_15.52.30_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robus tscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.RobustScaler(1)_copyTrue
sklearn.preprocessing.data.RobustScaler(1)_quantile_range(25.0, 75.0)
sklearn.preprocessing.data.RobustScaler(1)_with_centeringTrue
sklearn.preprocessing.data.RobustScaler(1)_with_scalingTrue
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)(1)_steps[('dualimputer', ), ('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, with_scaling=True)), ('lr', LR(C=1.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1, penalty='l2', random_state=None, solver='liblinear', tol=0.0001, verbose=0, warm_start=False))]
__main__.LR(1)_C1.0
__main__.LR(1)_class_weightNone
__main__.LR(1)_dualFalse
__main__.LR(1)_fit_interceptTrue
__main__.LR(1)_intercept_scaling1
__main__.LR(1)_max_iter100
__main__.LR(1)_multi_classovr
__main__.LR(1)_n_jobs1
__main__.LR(1)_penaltyl2
__main__.LR(1)_random_stateNone
__main__.LR(1)_solverliblinear
__main__.LR(1)_tol0.0001
__main__.LR(1)_verbose0
__main__.LR(1)_warm_startFalse

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
0.9203
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7568
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4743
Cross-validation details (10-fold Crossvalidation)
KB relative information score
784.6954
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1466
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7471
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.787
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.787
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6402
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2597
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7682
Cross-validation details (10-fold Crossvalidation)