OpenML
17905

Run 17905

Task 28 (Supervised Classification) optdigits Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I20
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7847
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3379.8008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1005
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8197
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7922
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.7922
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5581
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6793
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.3183[567.41723221127641015.2555353338006484.5405689113658912.75766683510371756.6205822745662]