Run
65028

Run 65028

Task 1727 (Learning Curve) optdigits Uploaded 19-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.9626 ± 0.0144
Per class
Build CPU time
367.2601
Build memory
2554229880.4571
F measure
0.7624 ± 0.058
Per class
Kappa
0.7482 ± 0.0564
KB relative information score
0.6007 ± 0.184
Mean absolute error
0.1006 ± 0.0469
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8088 ± 0.031
Per class
Predictive accuracy
0.7733 ± 0.0508
Prior entropy
3.3218 ± 0.0001
Recall
0.7733 ± 0.0508
Per class
Relative absolute error
0.5587 ± 0.2607
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.206 ± 0.0409
Root relative squared error
0.6867 ± 0.1362
SciMark benchmark
1605.1864