DEVELOPMENT... OpenML
Run
133779

Run 133779

Task 3653 (Supervised Classification) triazines 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
0.8182
Per class
Build CPU time
0.5284
Build memory
833741460.4301
F measure
0.7611
Per class
Kappa
0.5049
KB relative information score
89.5232
Mean absolute error
0.2505
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
0.7618
Per class
Predictive accuracy
0.7634
Prior entropy
0.979
Recall
0.7634
Per class
Relative absolute error
0.5161
Root mean prior squared error
0.4925
Root mean squared error
0.4661
Root relative squared error
0.9463
SciMark benchmark
939.084