DEVELOPMENT... OpenML
Run
52990

Run 52990

Task 1719 (Learning Curve) mfeat-pixel Uploaded 07-11-2014 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_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9949 ± 0.0033
Per class
Build CPU time
118.9069
Build memory
222896126.6909
F measure
0.93 ± 0.0193
Per class
Kappa
0.9222 ± 0.0213
KB relative information score
0.8821 ± 0.0189
Mean absolute error
0.0341 ± 0.0041
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9305 ± 0.0183
Per class
Predictive accuracy
0.93 ± 0.0191
Prior entropy
3.3219
Recall
0.93 ± 0.0191
Per class
Relative absolute error
0.1895 ± 0.0228
Root mean prior squared error
0.3
Root mean squared error
0.1094 ± 0.0116
Root relative squared error
0.3647 ± 0.0386
SciMark benchmark
1206.3605