DEVELOPMENT... OpenML
Run
118459

Run 118459

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 10-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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
0.4286
Per class
Build CPU time
0.078
Build memory
130819680
F measure
0.4715
Per class
Kappa
-0.3467
KB relative information score
-6.2221
Mean absolute error
0.3208
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4608
Per class
Predictive accuracy
0.4828
Prior entropy
1.0305
Recall
0.4828
Per class
Relative absolute error
1.1466
Root mean prior squared error
0.3657
Root mean squared error
0.5305
Root relative squared error
1.4505
SciMark benchmark
937.6343