Run
286339

Run 286339

Task 4613 (Supervised Classification) usp05-ft Uploaded 12-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LogitBoost_DecisionStump(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(3)_P100
weka.LogitBoost_DecisionStump(3)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(3)_H1.0
weka.LogitBoost_DecisionStump(3)_Z3.0
weka.LogitBoost_DecisionStump(3)_O1
weka.LogitBoost_DecisionStump(3)_E1
weka.LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(3)_I80
weka.LogitBoost_DecisionStump(3)_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
0.9285
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9226
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8268
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
485.3
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0211
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1439
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
720
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9136
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9361
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.4392
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9361
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1469
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2584
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1436
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5556
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
917.9672
UserCPU time millis
70
UserCPU time millis training
70