DEVELOPMENT... OpenML
Run
134018

Run 134018

Task 3923 (Supervised Classification) datatrieve 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
0.6474
Per class
Build CPU time
0.0219
Build memory
544975874.4
F measure
0.8734
Per class
Kappa
0.0761
KB relative information score
-62.8011
Mean absolute error
0.1488
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8591
Per class
Predictive accuracy
0.8923
Prior entropy
0.4395
Recall
0.8923
Per class
Relative absolute error
0.9295
Root mean prior squared error
0.2784
Root mean squared error
0.2961
Root relative squared error
1.0636
SciMark benchmark
939.084