DEVELOPMENT... OpenML
Run
48514

Run 48514

Task 1735 (Learning Curve) segment Uploaded 05-11-2014 by Jason
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
0.9841 ± 0.0089
Per class
Build CPU time
0.0736
Build memory
880044139.1333
F measure
0.9727 ± 0.0153
Per class
Kappa
0.9682 ± 0.0178
KB relative information score
0.9692 ± 0.0165
Mean absolute error
0.0086 ± 0.0044
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9728 ± 0.015
Per class
Predictive accuracy
0.9727 ± 0.0153
Prior entropy
2.8074
Recall
0.9727 ± 0.0153
Per class
Relative absolute error
0.0349 ± 0.0178
Root mean prior squared error
0.3499
Root mean squared error
0.0881 ± 0.0265
Root relative squared error
0.2519 ± 0.0757
SciMark benchmark
1771.6524