Run
59553

Run 59553

Task 1727 (Learning Curve) optdigits Uploaded 15-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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.

21 Evaluation measures

Area under ROC curve
0.9928 ± 0.0027
Per class
Build CPU time
0.9594
Build memory
1250028671.5429
F measure
0.987 ± 0.0049
Per class
Kappa
0.9856 ± 0.0054
KB relative information score
0.9856 ± 0.0051
Mean absolute error
0.0029 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9871 ± 0.0048
Per class
Predictive accuracy
0.987 ± 0.0049
Prior entropy
3.3218 ± 0.0001
Recall
0.987 ± 0.0049
Per class
Relative absolute error
0.0164 ± 0.0054
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0509 ± 0.0112
Root relative squared error
0.1697 ± 0.0375
SciMark benchmark
947.0414