Run
1673829

Run 1673829

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 22-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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
0.7214
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4482
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4428
Cross-validation details (10-fold Crossvalidation)
KB relative information score
715.0783
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0198
Cross-validation details (10-fold Crossvalidation)
Number of instances
1599
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4566
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.4484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5572
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.105
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0556
Cross-validation details (10-fold Crossvalidation)