DEVELOPMENT... OpenML
Run
162473

Run 162473

Task 219 (Supervised Classification) electricity Uploaded 16-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I20
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
0.8237
Per class
F measure
0.7514
Per class
Kappa
0.4901
KB relative information score
22275.1644
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
0.7712
Per class
Predictive accuracy
0.7609
Prior entropy
0.9835
Recall
0.7609
Per class
Relative absolute error
0.5077
Root mean prior squared error
0.4943
Root mean squared error
0.4671
Root relative squared error
0.9451
SciMark benchmark
922.9039
UserCPU time millis
2550
UserCPU time millis testing
60
UserCPU time millis training
2490