DEVELOPMENT... OpenML
Run
135789

Run 135789

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.8413
Per class
Build CPU time
0.0023
Build memory
2132322904
F measure
0.8661
Per class
Kappa
0.6124
KB relative information score
225.6745
Mean absolute error
0.1323
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8651
Per class
Predictive accuracy
0.8675
Prior entropy
0.7716
Recall
0.8675
Per class
Relative absolute error
0.3785
Root mean prior squared error
0.4176
Root mean squared error
0.3402
Root relative squared error
0.8147
SciMark benchmark
934.6076