Run
416

Run 416

Task 18 (Supervised Classification) mfeat-morphological Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I10
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7206
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6917
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1480.5639
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0705
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.7224
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7225
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7225
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1874
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6247
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2016.107