DEVELOPMENT... OpenML
Run
131511

Run 131511

Task 3804 (Supervised Classification) lowbwt Uploaded 26-12-2014 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
0.8659
Per class
Build CPU time
0.0518
Build memory
620263439.7884
F measure
0.8401
Per class
Kappa
0.6799
KB relative information score
102.4137
Mean absolute error
0.2422
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.846
Per class
Predictive accuracy
0.8413
Prior entropy
0.9984
Recall
0.8413
Per class
Relative absolute error
0.4855
Root mean prior squared error
0.4994
Root mean squared error
0.3579
Root relative squared error
0.7165
SciMark benchmark
915.8564