Types of Classification Errors under Machine Learning?

what are the other types of classification errors while using machine learning such as False Positive or False Negative.?

05 June 2017 9,164 3 View

How ensemble method reduced classification errors during prediction?

How dependent ensemble method (j48 with realadaboost) reduced classification errors during prediction?

04 May 2017 3,975 2 View

What is the ratio of training and testing instances used in 10-fold cross validation?

04 May 2017 5,398 2 View

How to measure classification errors using weka?

how to measure classification errors using weka. can we take the value of RSME or etc to utilize for taken the classification rate?

04 May 2017 4,095 7 View

How Dependent ensemble (e.g. realadaboost with J48) method reduced classification errors during prediction?

Actually i am applying dependent ensemble which don't have multiple classifier. its only do ensemble a meta classifier like (realadaboost) with other one classifier like J48.. how they both work...

04 May 2017 8,208 1 View

Is there any sequence mandatory during prediction task or i can use from which i got better results ?

Some studies used first preprocessing, feature selection, data balaning, model building etc. and some follows pre-processing, data balacing, feature selection etc. Can we adopt sequence which...

04 May 2017 1,581 1 View

What does mean by ensemble method in machine learning?

if in a model i used a weak learner decision tree with an ensemble method adaboost for increasing accuracy. Q1: what will be called this model. Is it dependent ensemble model or other? Q2:How...

04 May 2017 2,138 3 View

How to know that our dataset is imbalance?

if i have 1200 instances total and i want to classify in binary class. One class is "yes" having 900 and second class is "NO" having 300 instances. how i can know the dataset is unbalanced and...

03 April 2017 6,865 7 View

SMOTE using Weka?

i want to make balance data usnig SMOTE in weka but there is no option for oversampling or undersampling.As per my knowledge SMOTE oversampling the minoroity class but when i apply it then it...

03 April 2017 3,061 1 View

Feature Selection using Weka?

kindly Confirm me the following steps of feature selection using weka. 1: open file and choose dataset. 2: click on select attribute 3: choose attribute evaluate and search method 4: selection of...

03 April 2017 3,063 13 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

28 February 2021 4,187 3 View

How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...

28 February 2021 6,560 14 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...

28 February 2021 1,556 6 View

How can I represent SDS-PAGE results for machine learning analysis?

I am trying to classify and analyze the results of an SDS-PAGE based array for bacterial detection using machine learning, but I have trouble finding the best way to represent the results with...

27 February 2021 9,176 3 View