DEVELOPMENT... OpenML
Run
133225

Run 133225

Task 3706 (Supervised Classification) stock 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
0.997
Per class
Build CPU time
0.212
Build memory
990960497.6
F measure
0.9663
Per class
Kappa
0.9326
KB relative information score
851.6678
Mean absolute error
0.0568
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9664
Per class
Predictive accuracy
0.9663
Prior entropy
0.9995
Recall
0.9663
Per class
Relative absolute error
0.1137
Root mean prior squared error
0.4998
Root mean squared error
0.1513
Root relative squared error
0.3028
SciMark benchmark
943.8094