DEVELOPMENT... OpenML
Run
131063

Run 131063

Task 42 (Supervised Classification) haberman Uploaded 25-12-2014 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)_I160
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
0.6207
Per class
Build CPU time
3.4748
Build memory
1022093221.098
F measure
0.6819
Per class
Kappa
0.1662
KB relative information score
32.2633
Mean absolute error
0.3163
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.676
Per class
Predictive accuracy
0.6895
Prior entropy
0.836
Recall
0.6895
Per class
Relative absolute error
0.8112
Root mean prior squared error
0.4412
Root mean squared error
0.5471
Root relative squared error
1.24
SciMark benchmark
937.5757