tag:crantastic.org,2005:/packages/GMDH2Latest activity for GMDH22019-07-22T22:01:35Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/908882019-07-22T22:01:36Z2019-07-22T22:01:36ZGMDH2 was upgraded to version 1.5<a href="/packages/GMDH2">GMDH2</a> was <span class="action">upgraded</span> to version <a href="/packages/GMDH2/versions/86404">1.5</a><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/767282018-06-23T21:41:21Z2018-06-23T21:41:21ZGMDH2 was upgraded to version 1.4<a href="/packages/GMDH2">GMDH2</a> was <span class="action">upgraded</span> to version <a href="/packages/GMDH2/versions/73210">1.4</a><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/750452018-05-15T22:21:19Z2018-05-15T22:21:19ZGMDH2 was upgraded to version 1.3<a href="/packages/GMDH2">GMDH2</a> was <span class="action">upgraded</span> to version <a href="/packages/GMDH2/versions/71647">1.3</a><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix and related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/743662018-04-30T09:21:21Z2018-04-30T09:21:21ZGMDH2 was upgraded to version 1.2<a href="/packages/GMDH2">GMDH2</a> was <span class="action">upgraded</span> to version <a href="/packages/GMDH2/versions/70987">1.2</a><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix and related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/737722018-04-14T15:01:39Z2018-04-14T15:01:39ZGMDH2 was upgraded to version 1.1<a href="/packages/GMDH2">GMDH2</a> was <span class="action">upgraded</span> to version <a href="/packages/GMDH2/versions/70427">1.1</a><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix and related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/734392018-04-06T17:01:23Z2018-04-06T17:01:23ZGMDH2 was released<a href="/packages/GMDH2">GMDH2</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).</p>crantastic.org