Run
256140

Run 256140

Task 265 (Supervised Classification) dermatology Uploaded 05-03-2015 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)_I20
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
0.9947
Per class
Cross-validation details (33% Holdout set)
F measure
0.9747
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9684
Cross-validation details (33% Holdout set)
KB relative information score
113.7731
Cross-validation details (33% Holdout set)
Mean absolute error
0.0118
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.977
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.975
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.975
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0446
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.092
Cross-validation details (33% Holdout set)
Root relative squared error
0.2533
Cross-validation details (33% Holdout set)
SciMark benchmark
1311.1837
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)