Run
231429

Run 231429

Task 252 (Supervised Classification) mfeat-zernike Uploaded 02-03-2015 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)_I160
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
0.9745
Per class
Cross-validation details (33% Holdout set)
F measure
0.7897
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7641
Cross-validation details (33% Holdout set)
KB relative information score
528.1876
Cross-validation details (33% Holdout set)
Mean absolute error
0.0423
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7921
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7879
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.7879
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2348
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.186
Cross-validation details (33% Holdout set)
Root relative squared error
0.6199
Cross-validation details (33% Holdout set)
SciMark benchmark
1345.0332
UserCPU time millis
27710
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
27700
Cross-validation details (33% Holdout set)