DEVELOPMENT... OpenML
Run
135446

Run 135446

Task 3481 (Supervised Classification) isolet Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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.

21 Evaluation measures

Area under ROC curve
0.8355
Per class
Build CPU time
0.4824
Build memory
722418484.5453
F measure
0.6844
Per class
Kappa
0.6711
KB relative information score
5301.2949
Mean absolute error
0.0243
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6857
Per class
Predictive accuracy
0.6837
Prior entropy
4.7004
Recall
0.6837
Per class
Relative absolute error
0.3289
Root mean prior squared error
0.1923
Root mean squared error
0.156
Root relative squared error
0.8111
SciMark benchmark
935.6292