DEVELOPMENT... OpenML
Run
135020

Run 135020

Task 3701 (Supervised Classification) sleuth_case1102 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
0.3702
Per class
Build CPU time
0.001
Build memory
2504865168
F measure
0.3796
Per class
Kappa
-0.2615
KB relative information score
-8.794
Mean absolute error
0.6176
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3775
Per class
Predictive accuracy
0.3824
Prior entropy
0.9911
Recall
0.3824
Per class
Relative absolute error
1.2517
Root mean prior squared error
0.4965
Root mean squared error
0.7859
Root relative squared error
1.5828
SciMark benchmark
939.084