OpenML
580502

Run 580502

Task 28 (Supervised Classification) optdigits Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1 )Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Wweka.classifiers.meta.RacedIncrementalLogitBoost
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
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4873.0021
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0351
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
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
0.8837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8835
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.8835
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1303
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4343
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1305.6922
UserCPU time millis
1450
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1380
Cross-validation details (10-fold Crossvalidation)