DEVELOPMENT... OpenML
Run
133874

Run 133874

Task 3762 (Supervised Classification) analcatdata_negotiation Uploaded 28-12-2014 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)_I10
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
0.9105
Per class
Build CPU time
0.1125
Build memory
370633013.6522
F measure
0.8459
Per class
Kappa
0.6158
KB relative information score
53.9491
Mean absolute error
0.1558
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
0.8449
Per class
Predictive accuracy
0.8478
Prior entropy
0.8651
Recall
0.8478
Per class
Relative absolute error
0.3824
Root mean prior squared error
0.4503
Root mean squared error
0.3604
Root relative squared error
0.8004
SciMark benchmark
946.9091