$ vendor/bin/phpunit analytics/tests/prediction_test.php --testdox
Moodle 3.8dev (Build: 20190920), c2c1cbd40a50cccc92eb9379bed139c506cfb1cb
Php: 7.3.7, pgsql: 9.6.14, OS: Darwin 18.7.0 x86_64
PHPUnit 7.5.15 by Sebastian Bergmann and contributors.

core_analytics_prediction_testcase
 ✔ Static prediction
 ✔ Ml training and prediction with data set "no_splitting-\mlbackend_php\processor"
 ✔ Ml training and prediction with data set "quarters-\mlbackend_php\processor"
 → Ml training and prediction with data set "no_splitting-\mlbackend_python\processor"
 → Ml training and prediction with data set "quarters-\mlbackend_python\processor"
 ✔ Ml export import with data set "case-\mlbackend_php\processor"
 → Ml export import with data set "case-\mlbackend_python\processor"
 ✔ Ml classifiers return with data set "1-samples-\mlbackend_php\processor"
 ✔ Ml classifiers return with data set "2-samples-same-class-\mlbackend_php\processor"
 ✔ Ml classifiers return with data set "2-samples-different-classes-\mlbackend_php\processor"
 ✔ Ml classifiers return with data set "4-samples-different-classes-\mlbackend_php\processor"
 → Ml classifiers return with data set "1-samples-\mlbackend_python\processor"
 → Ml classifiers return with data set "2-samples-same-class-\mlbackend_python\processor"
 → Ml classifiers return with data set "2-samples-different-classes-\mlbackend_python\processor"
 → Ml classifiers return with data set "4-samples-different-classes-\mlbackend_python\processor"
 ✔ Ml multi classifier with data set "notimesplitting-\mlbackend_php\processor"
 → Ml multi classifier with data set "notimesplitting-\mlbackend_python\processor"
 ✔ Ml evaluation configuration with data set "bad-\mlbackend_php\processor"
 ✔ Ml evaluation configuration with data set "good-\mlbackend_php\processor"
 → Ml evaluation configuration with data set "bad-\mlbackend_python\processor"
 → Ml evaluation configuration with data set "good-\mlbackend_python\processor"
 ✔ Ml evaluation trained model with data set "case-\mlbackend_php\processor"
 → Ml evaluation trained model with data set "case-\mlbackend_python\processor"
 ✔ Read indicator calculations
 ✔ Not null samples

Time: 1.26 minutes, Memory: 90.50 MB

Summary of non-successful tests:

core_analytics_prediction_testcase
 → Ml training and prediction with data set "no_splitting-\mlbackend_python\processor"
 → Ml training and prediction with data set "quarters-\mlbackend_python\processor"
 → Ml export import with data set "case-\mlbackend_python\processor"
 → Ml classifiers return with data set "1-samples-\mlbackend_python\processor"
 → Ml classifiers return with data set "2-samples-same-class-\mlbackend_python\processor"
 → Ml classifiers return with data set "2-samples-different-classes-\mlbackend_python\processor"
 → Ml classifiers return with data set "4-samples-different-classes-\mlbackend_python\processor"
 → Ml multi classifier with data set "notimesplitting-\mlbackend_python\processor"
 → Ml evaluation configuration with data set "bad-\mlbackend_python\processor"
 → Ml evaluation configuration with data set "good-\mlbackend_python\processor"
 → Ml evaluation trained model with data set "case-\mlbackend_python\processor"
OK, but incomplete, skipped, or risky tests!