Run
9204263

Run 9204263

Task 59 (Supervised Classification) iris Uploaded 18-07-2018 by Boris Kirikov
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Flow

sklearn.svm.classes.LinearSVC(8)Automatically created scikit-learn flow.
sklearn.svm.classes.LinearSVC(8)_C1.0
sklearn.svm.classes.LinearSVC(8)_class_weightnull
sklearn.svm.classes.LinearSVC(8)_dualtrue
sklearn.svm.classes.LinearSVC(8)_fit_intercepttrue
sklearn.svm.classes.LinearSVC(8)_intercept_scaling1
sklearn.svm.classes.LinearSVC(8)_loss"squared_hinge"
sklearn.svm.classes.LinearSVC(8)_max_iter1000
sklearn.svm.classes.LinearSVC(8)_multi_class"ovr"
sklearn.svm.classes.LinearSVC(8)_penalty"l2"
sklearn.svm.classes.LinearSVC(8)_random_state39346
sklearn.svm.classes.LinearSVC(8)_tol0.0001
sklearn.svm.classes.LinearSVC(8)_verbose0

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
0.965 ± 0.053
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533 ± 0.0712
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93 ± 0.1059
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.4165 ± 1.4503
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0311 ± 0.0471
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9534 ± 0.0687
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533 ± 0.0706
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533 ± 0.0706
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.07 ± 0.1059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1764 ± 0.1466
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3742 ± 0.311
Cross-validation details (10-fold Crossvalidation)