Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.6730  0.0025  0.0927  0.3731  0.2928  0.33
Anderszewski 2003   4  0.756  0.052  0.1311  0.483  0.538  0.50
Ashkenazy 1981   6  0.7316  0.014  0.125  0.519  0.4811  0.49
Bacha 2000   34  0.642  0.1011  0.1123  0.412  0.616  0.50
Badura 1965   67  0.5070  0.0073  0.0384  0.0362  0.0487  0.03
Barbosa 1983   59  0.5644  0.0057  0.0455  0.0437  0.1855  0.08
Biret 1990   13  0.7041  0.0026  0.1021  0.428  0.4620  0.44
Blet 2003   21  0.6817  0.0136  0.0932  0.2614  0.3730  0.31
Block 1995   45  0.5936  0.0043  0.0442  0.0813  0.3639  0.17
Blumental 1952   49  0.5820  0.0149  0.0647  0.0622  0.2148  0.11
Boshniakovich 1969   35  0.6440  0.0045  0.0645  0.0639  0.1751  0.10
Brailowsky 1960   8  0.7210  0.0410  0.1022  0.413  0.5910  0.49
Bunin 1987   74  0.4778  0.0084  0.0385  0.0371  0.0488  0.03
Bunin 1987b   75  0.4773  0.0083  0.0383  0.0371  0.0481  0.03
Chiu 1999   18  0.6965  0.0024  0.1324  0.415  0.5712  0.48
Cohen 1997   85  0.4064  0.0082  0.0381  0.0342  0.0871  0.05
Cortot 1951   71  0.5054  0.0080  0.0287  0.0267  0.0489  0.03
Csalog 1996   87  0.3362  0.0072  0.0380  0.0331  0.2156  0.08
Czerny 1949   57  0.5680  0.0055  0.0468  0.0452  0.0670  0.05
Czerny 1990   15  0.6971  0.0029  0.0825  0.3827  0.2531  0.31
Duchoud 2007   56  0.5653  0.0054  0.0469  0.0446  0.0577  0.04
Ezaki 2006   2  0.7732  0.009  0.1212  0.4819  0.3723  0.42
Falvay 1989   47  0.5848  0.0058  0.0464  0.0437  0.2649  0.10
Farrell 1958   31  0.6661  0.0044  0.0444  0.0827  0.2442  0.14
Ferenczy 1958   53  0.5726  0.0050  0.0550  0.0574  0.0376  0.04
Fliere 1977   3  0.764  0.076  0.131  0.6310  0.482  0.55
Fou 1978   14  0.6935  0.0021  0.0819  0.4412  0.4221  0.43
Francois 1956   64  0.5268  0.0056  0.0552  0.0537  0.1854  0.09
Friedman 1923   83  0.4476  0.0076  0.0382  0.0342  0.1466  0.06
Friedman 1923b   82  0.4469  0.0077  0.0462  0.0444  0.1259  0.07
Friedman 1930   72  0.4951  0.0065  0.0466  0.0452  0.0575  0.04
Garcia 2007   42  0.6184  0.0047  0.0551  0.0520  0.3643  0.13
Garcia 2007b   48  0.5845  0.0033  0.0834  0.206  0.3934  0.28
Gierzod 1998   24  0.687  0.0518  0.1016  0.4718  0.3922  0.43
Gornostaeva 1994   37  0.6355  0.0042  0.0443  0.0835  0.1944  0.12
Groot 1988   51  0.5772  0.0060  0.0549  0.0551  0.0479  0.04
Harasiewicz 1955   39  0.6281  0.0037  0.0737  0.1541  0.1045  0.12
Hatto 1993   19  0.6919  0.015  0.128  0.493  0.631  0.56
Hatto 1997   12  0.7033  0.008  0.1113  0.486  0.539  0.50
Horowitz 1949   58  0.5659  0.0068  0.0457  0.0441  0.1061  0.06
Indjic 1988   16  0.6942  0.007  0.109  0.495  0.613  0.55
Kapell 1951   46  0.5839  0.0040  0.0539  0.1362  0.0457  0.07
Kissin 1993   11  0.7111  0.0317  0.104  0.5212  0.487  0.50
Kushner 1989   7  0.7229  0.0023  0.1115  0.4816  0.4517  0.46
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   28  0.6646  0.0035  0.0733  0.2326  0.2435  0.23
Malcuzynski 1961   66  0.5187  0.0070  0.0374  0.0378  0.0382  0.03
Magaloff 1978   38  0.6215  0.0234  0.0736  0.1728  0.2936  0.22
Magin 1975   5  0.751  0.181  0.183  0.543  0.555  0.54
Michalowski 1933   78  0.4666  0.0066  0.0459  0.0448  0.0768  0.05
Milkina 1970   26  0.673  0.0715  0.0910  0.4913  0.4713  0.48
Mohovich 1999   17  0.6913  0.0230  0.0829  0.3329  0.3229  0.32
Moravec 1969   73  0.4756  0.0063  0.0460  0.0438  0.2252  0.09
Morozova 2008   1  0.789  0.043  0.167  0.505  0.4614  0.48
Neighaus 1950   32  0.6538  0.0031  0.0826  0.3835  0.2033  0.28
Niedzielski 1931   63  0.5467  0.0038  0.0441  0.1125  0.2837  0.18
Ohlsson 1999   20  0.6818  0.0122  0.1017  0.4612  0.4418  0.45
Osinska 1989   30  0.6628  0.0028  0.0728  0.3526  0.3227  0.33
Pachmann 1927   79  0.4649  0.0085  0.0379  0.0331  0.1758  0.07
Paderewski 1930   65  0.5185  0.0075  0.0375  0.0363  0.0384  0.03
Perlemuter 1992   36  0.6458  0.0041  0.0440  0.1129  0.1940  0.14
Pierdomenico 2008   55  0.5679  0.0051  0.0470  0.0433  0.2650  0.10
Poblocka 1999   40  0.6143  0.0039  0.0438  0.1338  0.1541  0.14
Rabcewiczowa 1932   50  0.5737  0.0052  0.0553  0.0538  0.1553  0.09
Rachmaninoff 1923   41  0.6150  0.0046  0.0548  0.0546  0.0567  0.05
Rangell 2001   77  0.4652  0.0067  0.0465  0.0441  0.1360  0.07
Richter 1976   70  0.5083  0.0081  0.0378  0.0365  0.0483  0.03
Rosen 1989   9  0.7214  0.0212  0.152  0.568  0.544  0.55
Rosenthal 1930   84  0.4174  0.0087  0.0471  0.0481  0.0286  0.03
Rosenthal 1931   80  0.4582  0.0079  0.0376  0.0340  0.1263  0.06
Rosenthal 1931b   81  0.4488  0.0078  0.0286  0.0235  0.1080  0.04
Rosenthal 1931c   86  0.4090  0.0086  0.0472  0.0443  0.0865  0.06
Rosenthal 1931d   76  0.4675  0.0071  0.0373  0.0340  0.1364  0.06
Rossi 2007   68  0.5063  0.0053  0.0458  0.0423  0.2846  0.11
Rubinstein 1939   43  0.6021  0.0148  0.0646  0.065  0.4738  0.17
Rubinstein 1952   62  0.548  0.0527  0.0835  0.1919  0.4532  0.29
Rubinstein 1966   23  0.6824  0.0132  0.1030  0.3211  0.5624  0.42
Schilhawsky 1960   60  0.5660  0.0061  0.0456  0.0472  0.0474  0.04
Shebanova 2002   25  0.6723  0.0119  0.1118  0.4515  0.4619  0.45
Smith 1975   10  0.7131  0.0014  0.1120  0.4315  0.3925  0.41
Sokolov 2002   54  0.5722  0.0162  0.0461  0.0454  0.0472  0.04
Sztompka 1959   44  0.6034  0.0064  0.0554  0.0549  0.0762  0.06
Tomsic 1995   52  0.5777  0.0059  0.0467  0.0430  0.2847  0.11
Uninsky 1932   61  0.5557  0.0069  0.0463  0.0456  0.0669  0.05
Uninsky 1971   69  0.5027  0.0074  0.0377  0.0369  0.0573  0.04
Wasowski 1980   33  0.6512  0.0213  0.1031  0.328  0.3926  0.35
Zak 1937   22  0.6825  0.0120  0.1314  0.4811  0.4615  0.47
Zak 1951   29  0.665  0.0716  0.106  0.5113  0.4316  0.47
Random 1   90  -0.1986  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   89  -0.1289  0.0089  0.0288  0.0261  0.0485  0.03
Random 3   88  -0.0147  0.0088  0.0289  0.0242  0.0978  0.04

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).