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ML Algorithm selection for many Timestamp features

Started this discussion. Last reply by Mani Jun 8. 4 Replies

I’ve a data set with many Timestamp features like:Employee duty report timeEmployee duty release timeEmployee work start timeEmployee work end timeEmployee rest start timeEmployee rest end time,…Continue

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Mani replied to Mani's discussion ML Algorithm selection for many Timestamp features
"Well, it is a rule based decision making. Instead of using a rule based engine which uses complex if then else logic, I am trying to use ML to create a model which will classify the data. "
Jun 8
Prabhat Vaish replied to Mani's discussion ML Algorithm selection for many Timestamp features
"Maybe I am missing something here ... this looks like a simple rule-based decision making. What is needed to be learned here?"
Jun 8
Mani replied to Mani's discussion ML Algorithm selection for many Timestamp features
"Thanks for responding to my question. I tried sklearn Decision Tree and got 97% accuracy. I am trying to see if I can get better result, I'll try your suggestion. Do you think Time Series will give better accuracy rate than Decision Tree…"
May 28
Tim Matteson liked Mani's discussion ML Algorithm selection for many Timestamp features
May 26
Lance Norskog replied to Mani's discussion ML Algorithm selection for many Timestamp features
"Ummm... err... a fundament of Machine Learning is that 100% is impossible, and you expect to have a failure rate. In this use case, is a potential lawsuit the consequence of a failure? If so, rule engines are the right technology. But that was not…"
May 24
Mani's discussion was featured

ML Algorithm selection for many Timestamp features

I’ve a data set with many Timestamp features like:Employee duty report timeEmployee duty release timeEmployee work start timeEmployee work end timeEmployee rest start timeEmployee rest end time, etcWe currently have a Java application that uses this data to tell if it is legal for an employee to work on a given day or not. The work is not continuous, some days employee work only 2 hours and other days they work straight 8 hours based on various shift assignment rules. If an employee worked…See More
May 21
Mani posted a discussion

ML Algorithm selection for many Timestamp features

I’ve a data set with many Timestamp features like:Employee duty report timeEmployee duty release timeEmployee work start timeEmployee work end timeEmployee rest start timeEmployee rest end time, etcWe currently have a Java application that uses this data to tell if it is legal for an employee to work on a given day or not. The work is not continuous, some days employee work only 2 hours and other days they work straight 8 hours based on various shift assignment rules. If an employee worked…See More
May 21

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Short Bio
Seasoned software architect and ML wannabe
Field of Expertise
Business Analytics, Other
Years of Experience:
22
Your Job Title:
Enterprise Architect
Interests:
Contributing, Networking

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