# Electrocoagulation Based Chromium Removal Efficiency Classification Using Logistic Regression
## 2 Related Works  
Several authors used the logistic regression method and applied in several areas: ref. [8] used logistic regression and classification of three methods to analyze the severity of injuries caused by a motorcycle accident, based on very specific assumptions regarding the probability distribution, the Logit link function, and the classification tree as a non-parametric method that predicts the severity of injuries based on the set of predictors. According to [8] study, the best of the two models for predicting the severity of injuries in motorcyclists is binary logistic regression. The models worked similarly in terms of identified predictors. Then [9] used logistic regression and the carrier vector classification to predict a probability of failure associated with each sample of pipelines in water supply systems. The results obtained show that the logistic regression (LR) works slightly better than the classification of carrier vectors, and indicates that the number of unexpected failures could be considerably reduced. Others also used the logistic regression method [10] to assess the influence of several decision factors in order to provide mutual assistance in the event of a disaster in the electricity sector; ref. [11] to classify the image samples into two categories of non-refueling and refueling on the basis of 'a set of drawn extracts; ref. [12] to analyze and develop the failure modes of non-anchored atmospheric storage tanks suffering from floods and to develop configurable models of fragility and [13] to detect by logistic regression network failures. The main purpose of detecting network anomalies is to reliably identify malicious activity in traffic observations collected at specific monitoring points, to trigger alarms and to trigger responses in right time, likewise it is used to explain how to improve the cooler load distribution to reduce the energy consumption of the system. It has been proposed to control the system components with the trend of significant temperature variables to improve the sequencing of the coolers. The result indicates that this logistic regression method is more efficient in terms of the amount of information needed to predict decisions. Another statistical study and simulation of ocean current patterns using autoregressive logistic regression models was done by [14]. The results of this study show the effectiveness of the proposed statistical framework for analyzing the evolution of ocean current models. For example, there is an article [15] that makes a comparative study of [PERSON]'s disease and selection features by logistic regression in DNA and the use of an alternative reduction approach with logistic regression. The same last method was used to reduce the number of entities and to create a classifier with a higher accuracy rate than all the entities. Also apply in water treatment, for instance there is an article [16] controlled total inorganic nitrogen in treated wastewater using non homogeneous Markov logistic and multinomial logistic regression models. The results of this study indicate that temperatures have been cooled, the total ammonia nitrogen (TAN) in the effluents and the TIN levels in the effluents from previous weeks predict the TIN concentrations in the effluents. Another application of logistic regression--as explained in [17]--is to reduce dimensions and solve multi-collinearity problems in cartography. Chromium is a heavy metal that must be treated and removed in wastewater, and there are several articles that treat this metal in different ways and different treatment methods. For example, this article [18] made a comparison between coagulation and electrocoagulation using iron to treat the water contained in the aquifer contaminated by a relatively high concentration of total chromium. The results showed that more than 99% of (Cr) was eliminated by the Coagulation and Electrocoagulation methods. However, Coagulation increased the concentration of dissolved solidsabove the recommended recommendation for drinking water.