DEVELOPMENT... OpenML
Run
133327

Run 133327

Task 3821 (Supervised Classification) segment 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
0.9999
Per class
Build CPU time
0.4224
Build memory
1096570593.6
F measure
0.9978
Per class
Kappa
0.9911
KB relative information score
2225.476
Mean absolute error
0.0089
Mean prior absolute error
0.2451
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9978
Per class
Predictive accuracy
0.9978
Prior entropy
0.5925
Recall
0.9978
Per class
Relative absolute error
0.0363
Root mean prior squared error
0.3499
Root mean squared error
0.0511
Root relative squared error
0.146
SciMark benchmark
943.8094