Run
578519

Run 578519

Task 2077 (Supervised Classification) baseball Uploaded 03-06-2016 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
0.9597
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.925
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5493
Cross-validation details (10-fold Crossvalidation)
KB relative information score
533.2916
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0603
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
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
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9313
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5456
Cross-validation details (10-fold Crossvalidation)
Recall
0.9313
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5185
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1855
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1352.3323
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10-fold Crossvalidation)