DEVELOPMENT... OpenML
Run
133161

Run 133161

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.8208
Per class
Build CPU time
0.0308
Build memory
466883682.4
F measure
0.7394
Per class
Kappa
0.4726
KB relative information score
18.6218
Mean absolute error
0.4181
Mean prior absolute error
0.4951
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
0.7393
Per class
Predictive accuracy
0.74
Prior entropy
0.9931
Recall
0.74
Per class
Relative absolute error
0.8445
Root mean prior squared error
0.4975
Root mean squared error
0.4359
Root relative squared error
0.8761
SciMark benchmark
943.8094