Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5435  0.0061  0.0748  0.0785  0.0261  0.04
Anderszewski 2003   9  0.6763  0.0027  0.0627  0.2867  0.0429  0.11
Ashkenazy 1981   52  0.4960  0.0065  0.0377  0.0383  0.0382  0.03
Bacha 2000   1  0.7210  0.0210  0.1010  0.5023  0.239  0.34
Badura 1965   63  0.4476  0.0082  0.0378  0.0387  0.0287  0.02
Barbosa 1983   48  0.5067  0.0026  0.0633  0.1970  0.0435  0.09
Biret 1990   7  0.7027  0.017  0.118  0.5256  0.0521  0.16
Blet 2003   51  0.4940  0.0047  0.0565  0.0574  0.0358  0.04
Block 1995   55  0.4739  0.0037  0.0437  0.1577  0.0345  0.07
Blumental 1952   6  0.712  0.142  0.151  0.6116  0.246  0.38
Boshniakovich 1969   68  0.4144  0.0075  0.0560  0.0583  0.0364  0.04
Brailowsky 1960   10  0.6674  0.0029  0.0619  0.3554  0.0426  0.12
Bunin 1987   87  0.0571  0.0088  0.0287  0.0291  0.0191  0.01
Bunin 1987b   88  0.0372  0.0087  0.0288  0.0291  0.0189  0.01
Chiu 1999   13  0.6552  0.0041  0.0534  0.1772  0.0341  0.07
Cohen 1997   30  0.5736  0.0045  0.0545  0.1025  0.2919  0.17
Cortot 1951   47  0.5155  0.0033  0.0544  0.1141  0.1131  0.11
Csalog 1996   74  0.3824  0.0125  0.0728  0.2537  0.1615  0.20
Czerny 1949   59  0.4421  0.0173  0.0474  0.0486  0.0279  0.03
Czerny 1990   8  0.6931  0.0011  0.107  0.5382  0.0324  0.13
Duchoud 2007   83  0.2948  0.0083  0.0381  0.0386  0.0286  0.02
Ezaki 2006   3  0.7218  0.0112  0.146  0.5552  0.0422  0.15
Falvay 1989   12  0.6611  0.029  0.1411  0.469  0.533  0.49
Farrell 1958   5  0.716  0.053  0.144  0.5617  0.442  0.50
Ferenczy 1958   38  0.5456  0.0051  0.0749  0.0769  0.0450  0.05
Fliere 1977   54  0.4843  0.0069  0.0470  0.0484  0.0366  0.03
Fou 1978   15  0.6334  0.0032  0.0626  0.2985  0.0334  0.09
Francois 1956   27  0.5837  0.0024  0.1020  0.3451  0.0525  0.13
Friedman 1923   31  0.5657  0.0060  0.0557  0.0559  0.0552  0.05
Friedman 1923b   33  0.5664  0.0059  0.0558  0.0558  0.0551  0.05
Friedman 1930   32  0.5633  0.0058  0.0563  0.0567  0.0459  0.04
Garcia 2007   29  0.5719  0.0143  0.0540  0.1477  0.0348  0.06
Garcia 2007b   44  0.5130  0.0044  0.0741  0.1473  0.0447  0.07
Gierzod 1998   53  0.4841  0.0055  0.0556  0.0578  0.0362  0.04
Gornostaeva 1994   34  0.5420  0.0121  0.0729  0.2454  0.0530  0.11
Groot 1988   42  0.5288  0.0034  0.0442  0.1465  0.0538  0.08
Harasiewicz 1955   21  0.627  0.0342  0.0536  0.1576  0.0439  0.08
Hatto 1993   46  0.5189  0.0066  0.0475  0.0471  0.0465  0.04
Hatto 1997   41  0.5232  0.0067  0.0383  0.0375  0.0477  0.03
Horowitz 1949   76  0.3858  0.0077  0.0384  0.0378  0.0470  0.03
Indjic 1988   40  0.5261  0.0068  0.0473  0.0476  0.0457  0.04
Kapell 1951   71  0.4042  0.0036  0.0538  0.1585  0.0344  0.07
Kissin 1993   50  0.4951  0.0053  0.0650  0.0670  0.0356  0.04
Kushner 1989   49  0.5084  0.0056  0.0559  0.0575  0.0454  0.04
Luisada 1991   22  0.6190  0.0028  0.0625  0.3072  0.0428  0.11
Lushtak 2004   35  0.5479  0.0052  0.0654  0.0683  0.0363  0.04
Malcuzynski 1961   45  0.513  0.0818  0.0715  0.4032  0.2010  0.28
Magaloff 1978   20  0.6229  0.0013  0.1012  0.4421  0.335  0.38
Magin 1975   75  0.3823  0.0157  0.0472  0.0486  0.0368  0.03
Michalowski 1933   81  0.3268  0.0084  0.0386  0.0389  0.0285  0.02
Milkina 1970   4  0.719  0.035  0.163  0.6030  0.264  0.39
Mohovich 1999   17  0.6249  0.0016  0.129  0.5160  0.0520  0.16
Moravec 1969   14  0.644  0.074  0.155  0.556  0.561  0.55
Morozova 2008   60  0.4486  0.0071  0.0566  0.0587  0.0276  0.03
Neighaus 1950   58  0.4575  0.0074  0.0469  0.0486  0.0283  0.03
Niedzielski 1931   39  0.5325  0.0130  0.0724  0.3178  0.0333  0.10
Ohlsson 1999   73  0.4028  0.0179  0.0380  0.0379  0.0373  0.03
Osinska 1989   2  0.721  0.201  0.202  0.6134  0.227  0.37
Pachmann 1927   70  0.4165  0.0085  0.0468  0.0485  0.0271  0.03
Paderewski 1930   25  0.5977  0.0039  0.0731  0.2185  0.0336  0.08
Perlemuter 1992   26  0.5850  0.0046  0.0655  0.0668  0.0449  0.05
Pierdomenico 2008   65  0.4216  0.0123  0.0830  0.2445  0.1218  0.17
Poblocka 1999   84  0.2745  0.0080  0.0379  0.0374  0.0467  0.03
Rabcewiczowa 1932   37  0.5481  0.0035  0.0639  0.1579  0.0343  0.07
Rachmaninoff 1923   19  0.6217  0.0140  0.0535  0.1574  0.0342  0.07
Rangell 2001   80  0.3326  0.0138  0.0643  0.1252  0.0446  0.07
Richter 1976   86  0.1338  0.0086  0.0382  0.0389  0.0184  0.02
Rosen 1989   18  0.6222  0.018  0.1413  0.4473  0.0423  0.13
Rosenthal 1930   78  0.3547  0.0064  0.0561  0.0586  0.0280  0.03
Rosenthal 1931   72  0.4091  0.0049  0.0947  0.0942  0.1527  0.12
Rosenthal 1931b   69  0.4169  0.0050  0.1046  0.1040  0.1332  0.11
Rosenthal 1931c   77  0.3762  0.0048  0.0653  0.0644  0.1140  0.08
Rosenthal 1931d   61  0.4487  0.0031  0.0632  0.1931  0.2016  0.19
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   28  0.5813  0.0117  0.0916  0.3941  0.1214  0.22
Rubinstein 1952   67  0.418  0.0315  0.1123  0.3242  0.1913  0.25
Rubinstein 1966   16  0.6212  0.0214  0.1018  0.3542  0.1812  0.25
Schilhawsky 1960   82  0.3066  0.0078  0.0385  0.0383  0.0375  0.03
Shebanova 2002   64  0.4282  0.0070  0.0564  0.0584  0.0360  0.04
Smith 1975   24  0.5915  0.016  0.1214  0.4237  0.1511  0.25
Sokolov 2002   79  0.3470  0.0076  0.0562  0.0578  0.0353  0.04
Sztompka 1959   43  0.5253  0.0054  0.0651  0.0687  0.0272  0.03
Tomsic 1995   56  0.4714  0.0122  0.0721  0.3427  0.408  0.37
Uninsky 1932   66  0.4273  0.0072  0.0471  0.0484  0.0378  0.03
Uninsky 1971   85  0.2346  0.0081  0.0476  0.0484  0.0374  0.03
Wasowski 1980   23  0.595  0.0619  0.1017  0.3645  0.0917  0.18
Zak 1937   57  0.4685  0.0062  0.0467  0.0477  0.0369  0.03
Zak 1951   62  0.4483  0.0063  0.0652  0.0674  0.0355  0.04
Average   11  0.6659  0.0020  0.0722  0.3386  0.0237  0.08
Random 1   91  -0.3154  0.0090  0.0190  0.0177  0.0388  0.02
Random 2   90  -0.2578  0.0091  0.0191  0.0191  0.0190  0.01
Random 3   89  -0.1480  0.0089  0.0289  0.0260  0.0481  0.03

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).