DEVELOPMENT... OpenML
Run
162013

Run 162013

Task 3650 (Supervised Classification) wind_correlations Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9427
Per class
F measure
0.9111
Per class
Kappa
0.8221
KB relative information score
37.3106
Mean absolute error
0.0859
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
0.9111
Per class
Predictive accuracy
0.9111
Prior entropy
0.9997
Recall
0.9111
Per class
Relative absolute error
0.1718
Root mean prior squared error
0.4999
Root mean squared error
0.2746
Root relative squared error
0.5493
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis training
10