Run
215194

Run 215194

Task 246 (Supervised Classification) mfeat-karhunen 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)_I40
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
0.9976
Per class
Cross-validation details (33% Holdout set)
F measure
0.9443
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9377
Cross-validation details (33% Holdout set)
KB relative information score
624.6171
Cross-validation details (33% Holdout set)
Mean absolute error
0.0136
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9461
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9439
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.9439
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0754
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.0875
Cross-validation details (33% Holdout set)
Root relative squared error
0.2917
Cross-validation details (33% Holdout set)
SciMark benchmark
938.9967
UserCPU time millis
11860
Cross-validation details (33% Holdout set)
UserCPU time millis training
11860
Cross-validation details (33% Holdout set)