Run
1642428

Run 1642428

Task 10090 (Supervised Classification) amazon-commerce-reviews Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.6132
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.019
Cross-validation details (10-fold Crossvalidation)
KB relative information score
155.0126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0388
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0392
Cross-validation details (10-fold Crossvalidation)
Number of instances
1500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0387
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.6439
Cross-validation details (10-fold Crossvalidation)
Recall
0.0387
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9902
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.14
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1393
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9953
Cross-validation details (10-fold Crossvalidation)