Run
57188

Run 57188

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.9824 ± 0.0022
Per class
Build CPU time
2.5047
Build memory
498528410.0889
F measure
0.9594 ± 0.0052
Per class
Kappa
0.9578 ± 0.0055
KB relative information score
0.9596 ± 0.0052
Mean absolute error
0.0032 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9595 ± 0.005
Per class
Predictive accuracy
0.9594 ± 0.0052
Prior entropy
4.6998 ± 0.0001
Recall
0.9594 ± 0.0052
Per class
Relative absolute error
0.0435 ± 0.0051
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0551 ± 0.0036
Root relative squared error
0.2866 ± 0.0187
SciMark benchmark
1732.6592