DEVELOPMENT... OpenML
Run
133275

Run 133275

Task 3762 (Supervised Classification) analcatdata_negotiation Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8936
Per class
Build CPU time
0.1818
Build memory
1219409429.7391
F measure
0.836
Per class
Kappa
0.5932
KB relative information score
52.2829
Mean absolute error
0.161
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
0.8352
Per class
Predictive accuracy
0.837
Prior entropy
0.8651
Recall
0.837
Per class
Relative absolute error
0.3952
Root mean prior squared error
0.4503
Root mean squared error
0.3649
Root relative squared error
0.8104
SciMark benchmark
943.8094