DEVELOPMENT... OpenML
Run
133180

Run 133180

Task 3653 (Supervised Classification) triazines 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
0.8217
Per class
Build CPU time
0.7265
Build memory
820863100.6452
F measure
0.7503
Per class
Kappa
0.4824
KB relative information score
87.7761
Mean absolute error
0.2541
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7508
Per class
Predictive accuracy
0.7527
Prior entropy
0.979
Recall
0.7527
Per class
Relative absolute error
0.5236
Root mean prior squared error
0.4925
Root mean squared error
0.4699
Root relative squared error
0.954
SciMark benchmark
943.8094