DEVELOPMENT... OpenML
Run
136400

Run 136400

Task 3914 (Supervised Classification) ar6 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)_I80
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
0.507
Per class
Build CPU time
0.003
Build memory
96114606.4158
F measure
0.7358
Per class
Kappa
0.0126
KB relative information score
-33.3816
Mean absolute error
0.2772
Mean prior absolute error
0.2577
Number of instances
101
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7503
Per class
Predictive accuracy
0.7228
Prior entropy
0.623
Recall
0.7228
Per class
Relative absolute error
1.0757
Root mean prior squared error
0.3557
Root mean squared error
0.5265
Root relative squared error
1.4804
SciMark benchmark
877.9084