Run
215844

Run 215844

Task 287 (Supervised Classification) ionosphere Uploaded 01-03-2015 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
0.9747
Per class
Cross-validation details (33% Holdout set)
F measure
0.93
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8428
Cross-validation details (33% Holdout set)
KB relative information score
96.0969
Cross-validation details (33% Holdout set)
Mean absolute error
0.065
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9301
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9304
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9304
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1429
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2331
Cross-validation details (33% Holdout set)
Root relative squared error
0.4919
Cross-validation details (33% Holdout set)
SciMark benchmark
930.5999
UserCPU time millis
330
Cross-validation details (33% Holdout set)
UserCPU time millis training
330
Cross-validation details (33% Holdout set)