Run
580945

Run 580945

Task 31 (Supervised Classification) credit-g Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7363
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
146.4214
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3512
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.7069
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8359
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9331
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1262.1868
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)