Run
580955

Run 580955

Task 2068 (Supervised Classification) solar-flare Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.LogitBoost_DecisionStump(6)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(6)_P100
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z3.0
weka.LogitBoost_DecisionStump(6)_O1
weka.LogitBoost_DecisionStump(6)_E1
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I10
weka.LogitBoost_DecisionStump(6)_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
0.7717
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9911
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0869
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1817.936
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0079
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.056
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0772
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1340.6009
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)