Run
503961

Run 503961

Task 10059 (Learning Curve) ipums_la_99-small Uploaded 29-12-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.BFTree(4)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(4)_PPOSTPRUNED
weka.BFTree(4)_M2
weka.BFTree(4)_N5
weka.BFTree(4)_Ctrue
weka.BFTree(4)_S1

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.

22 Evaluation measures

Area under ROC curve
0.8368 ± 0.1161
Per class
F measure
0.9115 ± 0.0036
Per class
Kappa
0.0948 ± 0.0611
KB relative information score
-2992.6433 ± 114.6312
Mean absolute error
0.1029 ± 0.0068
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9114 ± 0.0094
Per class
Predictive accuracy
0.9359 ± 0.0022
Prior entropy
0.3444
Recall
0.9359 ± 0.0022
Per class
Relative absolute error
0.8555 ± 0.0559
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2307 ± 0.0084
Root relative squared error
0.941 ± 0.0333
SciMark benchmark
933.9877
UserCPU time millis
11110
UserCPU time millis testing
10
UserCPU time millis training
11100