OpenML
581115

Run 581115

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.MultiBoostAB_JRip(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1
weka.MultiBoostAB_JRip(3)_C3
weka.MultiBoostAB_JRip(3)_P100
weka.MultiBoostAB_JRip(3)_S1
weka.MultiBoostAB_JRip(3)_I10
weka.MultiBoostAB_JRip(3)_Wweka.classifiers.rules.JRip

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
0.9957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9736
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5475.2426
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0052
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
0.9739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9735
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9735
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0291
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0685
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2282
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1474.6286
UserCPU time millis
50520
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50450
Cross-validation details (10-fold Crossvalidation)