DEVELOPMENT... OpenML
Run
135809

Run 135809

Task 3913 (Supervised Classification) kc2 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
0.735
Per class
Build CPU time
0.2641
Build memory
2153155728.9349
F measure
0.8239
Per class
Kappa
0.4441
KB relative information score
188.3353
Mean absolute error
0.183
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8205
Per class
Predictive accuracy
0.8295
Prior entropy
0.734
Recall
0.8295
Per class
Relative absolute error
0.5602
Root mean prior squared error
0.4037
Root mean squared error
0.3965
Root relative squared error
0.9822
SciMark benchmark
934.6076