DEVELOPMENT... OpenML
Run
135105

Run 135105

Task 3799 (Supervised Classification) fri_c3_500_10 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)_I20
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
0.8516
Per class
Build CPU time
0.0051
Build memory
2609101723.2
F measure
0.8521
Per class
Kappa
0.7021
KB relative information score
350.3239
Mean absolute error
0.148
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8523
Per class
Predictive accuracy
0.852
Prior entropy
0.9945
Recall
0.852
Per class
Relative absolute error
0.2983
Root mean prior squared error
0.4981
Root mean squared error
0.3847
Root relative squared error
0.7724
SciMark benchmark
946.9091