Run
580108

Run 580108

Task 2077 (Supervised Classification) baseball Uploaded 06-06-2016 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.

22 Evaluation measures

0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
0.9135
Per class
Cross-validation details (10-fold Crossvalidation)
0.4984
Cross-validation details (10-fold Crossvalidation)
451.299
Cross-validation details (10-fold Crossvalidation)
0.0584
Cross-validation details (10-fold Crossvalidation)
0.1164
Cross-validation details (10-fold Crossvalidation)
1340
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
0.9147
Per class
Cross-validation details (10-fold Crossvalidation)
0.9127
Cross-validation details (10-fold Crossvalidation)
0.5456
Cross-validation details (10-fold Crossvalidation)
0.9127
Per class
Cross-validation details (10-fold Crossvalidation)
0.5014
Cross-validation details (10-fold Crossvalidation)
0.2405
Cross-validation details (10-fold Crossvalidation)
0.241
Cross-validation details (10-fold Crossvalidation)
1.0024
Cross-validation details (10-fold Crossvalidation)
1300.9709
10
Cross-validation details (10-fold Crossvalidation)
10
Cross-validation details (10-fold Crossvalidation)