Showing Predictor "AML"

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Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 11	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2016-10-21 12:17:06 -0600	Used Time: 18 minutes
Label Name: time	C Parameter: 1000.0
PSSP model: mtlr_model_file2373.mtlr	Version: 0.0.3

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.61 ± 0.07	0.61 ± 0.07	0.5 ± 0.0
Hinged L1 Loss	245.96 ± 34.7		247.61 ± 13.69
Uncensored L1 loss	274.65 ± 58.29	656.3 ± 44.56	227.11 ± 17.74
Marginal L1 Loss	449.35 ± 75.08	567.54 ± 40.79	461.77 ± 70.32
Marginal L2 Loss	N / A
Hinged L1 Log-Loss	0.9 ± 0.04	1.11 ± 0.07	0.91 ± 0.06
Uncensored L1 Log-Loss	1.32 ± 0.05	1.91 ± 0.08	1.26 ± 0.1
Marginal L1 Log-Loss	1.19 ± 0.04	1.37 ± 0.07	1.22 ± 0.06
Log-Likelihood Loss	2.26 ± 0.38
D-calibration χ² statistics	8.63 ± 3.48		2.14 ± 1.22
D-calibration χ² p-value	0.94 ± 0.06		1.0 ± 0.0

*Mean value ± standard deviation.

Examine Classification Accuracy