DEVELOPMENT... OpenML
Run
132622

Run 132622

Task 3701 (Supervised Classification) sleuth_case1102 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)_I40
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
0.3386
Per class
Build CPU time
0.0135
Build memory
1008101430.1177
F measure
0.3706
Per class
Kappa
-0.2796
KB relative information score
-4.2703
Mean absolute error
0.5442
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3643
Per class
Predictive accuracy
0.3824
Prior entropy
0.9911
Recall
0.3824
Per class
Relative absolute error
1.1029
Root mean prior squared error
0.4965
Root mean squared error
0.5721
Root relative squared error
1.1522
SciMark benchmark
920.6725