DEVELOPMENT... OpenML
Run
145440

Run 145440

Task 3650 (Supervised Classification) wind_correlations Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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.

22 Evaluation measures

Area under ROC curve
0.9259
Per class
F measure
0.9108
Per class
Kappa
0.8218
KB relative information score
36.8158
Mean absolute error
0.0916
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9142
Per class
Predictive accuracy
0.9111
Prior entropy
0.9997
Recall
0.9111
Per class
Relative absolute error
0.1833
Root mean prior squared error
0.4999
Root mean squared error
0.2982
Root relative squared error
0.5966
SciMark benchmark
868.2731
UserCPU time millis
50
UserCPU time millis training
50