DEVELOPMENT... OpenML
Run
136651

Run 136651

Task 3498 (Supervised Classification) pasture Uploaded 31-12-2014 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)_I160
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
0.7083
Per class
Build CPU time
0.0032
Build memory
1265727386.4444
F measure
0.6042
Per class
Kappa
0.4167
KB relative information score
16.833
Mean absolute error
0.2593
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6169
Per class
Predictive accuracy
0.6111
Prior entropy
1.585
Recall
0.6111
Per class
Relative absolute error
0.5833
Root mean prior squared error
0.4714
Root mean squared error
0.5092
Root relative squared error
1.0801
SciMark benchmark
926.507