DEVELOPMENT... OpenML
Run
153516

Run 153516

Task 219 (Supervised Classification) electricity Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_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
0.7757
Per class
F measure
0.7492
Per class
Kappa
0.4863
KB relative information score
14924.2464
Mean absolute error
0.3432
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
0.7721
Per class
Predictive accuracy
0.7598
Prior entropy
0.9835
Recall
0.7598
Per class
Relative absolute error
0.7023
Root mean prior squared error
0.4943
Root mean squared error
0.4168
Root relative squared error
0.8434
SciMark benchmark
934.5243
UserCPU time millis
540
UserCPU time millis testing
60
UserCPU time millis training
480