Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.715  0.044  0.156  0.613  0.636  0.62
Anderszewski 2003   40  0.5957  0.0058  0.0472  0.0441  0.2273  0.09
Ashkenazy 1981   33  0.6148  0.0022  0.0822  0.376  0.5723  0.46
Bacha 2000   74  0.4864  0.0074  0.0470  0.0435  0.1774  0.08
Badura 1965   56  0.5571  0.0059  0.0471  0.0421  0.4264  0.13
Barbosa 1983   73  0.4946  0.0070  0.0561  0.0537  0.1872  0.09
Biret 1990   29  0.6251  0.0031  0.0634  0.2616  0.4335  0.33
Blet 2003   77  0.4865  0.0077  0.0746  0.0758  0.0581  0.06
Block 1995   52  0.5643  0.0044  0.0643  0.127  0.5541  0.26
Blumental 1952   58  0.5417  0.0147  0.0556  0.0529  0.2367  0.11
Boshniakovich 1969   20  0.6480  0.0024  0.0827  0.3128  0.4228  0.36
Brailowsky 1960   71  0.5068  0.0076  0.0650  0.0635  0.2762  0.13
Bunin 1987   72  0.5024  0.0166  0.0557  0.057  0.5048  0.16
Bunin 1987b   75  0.4853  0.0067  0.0563  0.0511  0.4853  0.15
Chiu 1999   49  0.5719  0.0143  0.0644  0.111  0.5443  0.24
Cohen 1997   87  0.3583  0.0086  0.0385  0.0368  0.0488  0.03
Cortot 1951   68  0.5149  0.0075  0.0562  0.0523  0.4458  0.15
Csalog 1996   76  0.4886  0.0065  0.0552  0.0528  0.2965  0.12
Czerny 1949   25  0.6329  0.0032  0.0624  0.3630  0.4027  0.38
Czerny 1990   13  0.6621  0.0123  0.0828  0.3028  0.3833  0.34
Duchoud 2007   57  0.5431  0.0045  0.0560  0.052  0.6546  0.18
Ezaki 2006   35  0.6042  0.0057  0.0477  0.0444  0.1277  0.07
Falvay 1989   46  0.5718  0.0153  0.0474  0.0433  0.3066  0.11
Farrell 1958   44  0.5839  0.0038  0.0538  0.2125  0.4139  0.29
Ferenczy 1958   60  0.5455  0.0055  0.0476  0.0416  0.4463  0.13
Fliere 1977   7  0.719  0.023  0.135  0.614  0.549  0.57
Fou 1978   50  0.5769  0.0049  0.0555  0.0539  0.1770  0.09
Francois 1956   45  0.5844  0.0056  0.0478  0.044  0.6250  0.16
Friedman 1923   53  0.5545  0.0062  0.0553  0.0520  0.4559  0.15
Friedman 1923b   54  0.5588  0.0061  0.0558  0.0524  0.4456  0.15
Friedman 1930   36  0.5960  0.0051  0.0649  0.068  0.5545  0.18
Garcia 2007   65  0.5281  0.0063  0.0648  0.0618  0.4847  0.17
Garcia 2007b   41  0.5952  0.0033  0.0535  0.259  0.5329  0.36
Gierzod 1998   1  0.761  0.481  0.481  0.744  0.711  0.72
Gornostaeva 1994   32  0.6161  0.0046  0.0554  0.0514  0.5249  0.16
Groot 1988   51  0.5762  0.0030  0.0726  0.325  0.4826  0.39
Harasiewicz 1955   23  0.6320  0.0128  0.0830  0.3030  0.4031  0.35
Hatto 1993   30  0.6212  0.0114  0.1513  0.529  0.5115  0.51
Hatto 1997   27  0.6235  0.0015  0.1115  0.5010  0.5019  0.50
Horowitz 1949   67  0.5272  0.0069  0.0565  0.0519  0.4855  0.15
Indjic 1988   26  0.6316  0.0113  0.1112  0.538  0.5214  0.52
Kapell 1951   42  0.5876  0.0048  0.0647  0.0642  0.1471  0.09
Kissin 1993   8  0.7114  0.016  0.163  0.624  0.693  0.65
Kushner 1989   2  0.724  0.068  0.167  0.577  0.638  0.60
Luisada 1991   34  0.6137  0.0035  0.0737  0.2312  0.4734  0.33
Lushtak 2004   16  0.656  0.0316  0.1410  0.543  0.707  0.61
Malcuzynski 1961   61  0.5450  0.0073  0.0845  0.0864  0.0480  0.06
Magaloff 1978   37  0.598  0.0240  0.0740  0.158  0.4640  0.26
Magin 1975   18  0.6574  0.0012  0.1018  0.468  0.5416  0.50
Michalowski 1933   69  0.5189  0.0064  0.0469  0.0412  0.4861  0.14
Milkina 1970   19  0.6454  0.0036  0.0632  0.2733  0.3337  0.30
Mohovich 1999   22  0.637  0.0227  0.0823  0.3714  0.6022  0.47
Moravec 1969   80  0.4433  0.0080  0.0381  0.0358  0.0583  0.04
Morozova 2008   21  0.633  0.0621  0.1021  0.3710  0.5024  0.43
Neighaus 1950   5  0.7113  0.017  0.168  0.572  0.714  0.64
Niedzielski 1931   55  0.5570  0.0050  0.0566  0.0517  0.4552  0.15
Ohlsson 1999   3  0.722  0.062  0.292  0.671  0.752  0.71
Osinska 1989   10  0.6715  0.0110  0.1311  0.5411  0.6110  0.57
Pachmann 1927   78  0.4540  0.0083  0.0382  0.0336  0.2276  0.08
Paderewski 1930   83  0.4190  0.0078  0.0479  0.0438  0.1575  0.08
Perlemuter 1992   31  0.6123  0.0125  0.0925  0.341  0.6521  0.47
Pierdomenico 2008   70  0.5066  0.0068  0.0567  0.0513  0.4751  0.15
Poblocka 1999   9  0.6936  0.009  0.159  0.546  0.6111  0.57
Rabcewiczowa 1932   38  0.5963  0.0034  0.0636  0.247  0.5230  0.35
Rachmaninoff 1923   59  0.5410  0.0229  0.0731  0.2721  0.3238  0.29
Rangell 2001   66  0.5225  0.0054  0.0559  0.0513  0.4657  0.15
Richter 1976   63  0.5356  0.0071  0.0564  0.0530  0.4260  0.14
Rosen 1989   11  0.6734  0.0011  0.1014  0.509  0.6013  0.55
Rosenthal 1930   81  0.4375  0.0081  0.0386  0.0344  0.1082  0.05
Rosenthal 1931   85  0.4077  0.0085  0.0384  0.0355  0.0684  0.04
Rosenthal 1931b   82  0.4282  0.0082  0.0383  0.0341  0.1678  0.07
Rosenthal 1931c   79  0.4478  0.0079  0.0380  0.0339  0.1779  0.07
Rosenthal 1931d   86  0.3887  0.0087  0.0475  0.0452  0.0585  0.04
Rossi 2007   84  0.4047  0.0084  0.0287  0.0282  0.0486  0.03
Rubinstein 1939   62  0.5422  0.0152  0.0468  0.0434  0.2769  0.10
Rubinstein 1952   48  0.5711  0.0139  0.0639  0.1811  0.5536  0.31
Rubinstein 1966   28  0.6258  0.0037  0.0533  0.2624  0.4532  0.34
Schilhawsky 1960   14  0.6626  0.0018  0.1416  0.482  0.6412  0.55
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   47  0.5767  0.0060  0.0473  0.0427  0.2768  0.10
Sokolov 2002   39  0.5928  0.0041  0.0641  0.1514  0.4342  0.25
Sztompka 1959   4  0.7232  0.005  0.144  0.624  0.655  0.63
Tomsic 1995   64  0.5338  0.0072  0.0551  0.0522  0.4654  0.15
Uninsky 1932   43  0.5859  0.0042  0.0542  0.1322  0.4644  0.24
Uninsky 1971   15  0.6530  0.0020  0.1319  0.4516  0.5618  0.50
Wasowski 1980   24  0.6327  0.0026  0.0829  0.305  0.5825  0.42
Zak 1937   12  0.6741  0.0017  0.1417  0.4610  0.5417  0.50
Zak 1951   17  0.6573  0.0019  0.1320  0.4412  0.5220  0.48
Random 1   90  -0.1579  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   88  -0.0484  0.0088  0.0288  0.0259  0.0487  0.03
Random 3   89  -0.1285  0.0089  0.0189  0.0173  0.0489  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).