OpenML
580417

Run 580417

Task 28 (Supervised Classification) optdigits Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_Dagging_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Dagging_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Dagging_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Dagging_DecisionStump(1)_Wweka.classifiers.meta.Dagging
weka.Dagging_DecisionStump(4)_F10
weka.Dagging_DecisionStump(4)_S1
weka.Dagging_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
0.8115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2575
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3027
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1051.1387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1688
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
0.3194
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3722
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3722
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9377
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.287
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9566
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1319.222
UserCPU time millis
310
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
300
Cross-validation details (10-fold Crossvalidation)