Run
54659

Run 54659

Task 1701 (Learning Curve) anneal Uploaded 09-11-2014 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.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I10
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9111 ± 0.0641
Per class
Build CPU time
0.1031
Build memory
409399842.0444
F measure
0.9534 ± 0.0265
Per class
Kappa
0.8826 ± 0.0647
KB relative information score
0.8633 ± 0.073
Mean absolute error
0.0169 ± 0.0078
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9564 ± 0.0218
Per class
Predictive accuracy
0.9555 ± 0.0235
Prior entropy
1.1915 ± 0.026
Recall
0.9555 ± 0.0235
Per class
Relative absolute error
0.1261 ± 0.0574
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1214 ± 0.0349
Root relative squared error
0.4701 ± 0.1335
SciMark benchmark
1645.7101