Run
581375

Run 581375

Task 24 (Supervised Classification) mushroom Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(4)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(4)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(4)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_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
0.9981
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9858
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9716
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7560.2655
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0413
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Number of instances
8124
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9859
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9858
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.9858
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0827
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4997
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.106
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2122
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1301.3073
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)