DEVELOPMENT... OpenML
Run
135811

Run 135811

Task 3915 (Supervised Classification) kc3 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
0.7243
Per class
Build CPU time
0.1615
Build memory
2545305472.262
F measure
0.8731
Per class
Kappa
0.1938
KB relative information score
39.4484
Mean absolute error
0.1155
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8646
Per class
Predictive accuracy
0.8843
Prior entropy
0.4551
Recall
0.8843
Per class
Relative absolute error
0.6734
Root mean prior squared error
0.2917
Root mean squared error
0.3326
Root relative squared error
1.1403
SciMark benchmark
934.6076