DEVELOPMENT... OpenML
Run
165259

Run 165259

Task 3712 (Supervised Classification) wind Uploaded 17-02-2015 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)_I160
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
0.9338
Per class
F measure
0.8465
Per class
Kappa
0.6916
KB relative information score
4532.1545
Mean absolute error
0.1548
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8465
Per class
Predictive accuracy
0.8465
Prior entropy
0.9969
Recall
0.8465
Per class
Relative absolute error
0.311
Root mean prior squared error
0.4989
Root mean squared error
0.3623
Root relative squared error
0.7262
SciMark benchmark
940.2922
UserCPU time millis
4150
UserCPU time millis testing
50
UserCPU time millis training
4100