Run
2039747

Run 2039747

Task 59 (Supervised Classification) iris Uploaded 09-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Sun_Apr__9_01.01.23_2017
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Flow

sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adabo ostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_base_estimatorNone
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_learning_rate0.000114552294041
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_n_estimators512
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_random_state3
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier)(1)_steps[('DualImputer', ), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=0.00011455229404145988, n_estimators=512, random_state=3))]

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
0.9679
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
110.1023
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1529
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
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.344
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5213
Cross-validation details (10-fold Crossvalidation)