DEVELOPMENT... OpenML
Run
135675

Run 135675

Task 3762 (Supervised Classification) analcatdata_negotiation 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
0.8598
Per class
Build CPU time
0.0183
Build memory
1681485714.087
F measure
0.8141
Per class
Kappa
0.5389
KB relative information score
48.1101
Mean absolute error
0.1766
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8132
Per class
Predictive accuracy
0.8152
Prior entropy
0.8651
Recall
0.8152
Per class
Relative absolute error
0.4335
Root mean prior squared error
0.4503
Root mean squared error
0.399
Root relative squared error
0.886
SciMark benchmark
934.6076