DEVELOPMENT... OpenML
Run
161530

Run 161530

Task 219 (Supervised Classification) electricity 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
0.7933
Per class
F measure
0.7488
Per class
Kappa
0.4845
KB relative information score
22220.7891
Mean absolute error
0.2481
Mean prior absolute error
0.4886
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7658
Per class
Predictive accuracy
0.7577
Prior entropy
0.9835
Recall
0.7577
Per class
Relative absolute error
0.5077
Root mean prior squared error
0.4943
Root mean squared error
0.4803
Root relative squared error
0.9718
SciMark benchmark
933.8635
UserCPU time millis
1380
UserCPU time millis testing
50
UserCPU time millis training
1330