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-minHitRate 0.1 will mean that 90 of your positives can get wrongly classified. It is perfectly natural that your algorithm will stop after a single stage .... also your maximum false alarm rate is way to high to take advantage of the early rejecting principle, introduced by the boosted cascade of weak classifiers. I guess you should start reading about traincascade parameters!
