OpenML
22928

Run 22928

Task 28 (Supervised Classification) optdigits Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I160
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.9891
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9767
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5496.3235
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0042
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
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.979
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0234
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0648
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2161
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.3595[550.58101308439061013.3868112175512479.99187728791736907.70082742804311765.1369023070451]