DEVELOPMENT... OpenML
Run
131969

Run 131969

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 26-12-2014 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)_I80
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
0.8856
Per class
Build CPU time
0.0884
Build memory
615435323.2
F measure
0.8498
Per class
Kappa
0.6931
KB relative information score
42.3115
Mean absolute error
0.3071
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8497
Per class
Predictive accuracy
0.85
Prior entropy
0.9864
Recall
0.85
Per class
Relative absolute error
0.6262
Root mean prior squared error
0.4951
Root mean squared error
0.3633
Root relative squared error
0.7338
SciMark benchmark
943.7751