Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.5373  0.0067  0.0471  0.0467  0.0479  0.04
Anderszewski 2003   20  0.6044  0.0035  0.0629  0.3132  0.3525  0.33
Ashkenazy 1981   48  0.5351  0.0047  0.0563  0.0545  0.1161  0.07
Bacha 2000   67  0.4777  0.0070  0.0373  0.0341  0.1263  0.06
Badura 1965   53  0.5250  0.0063  0.0553  0.0548  0.0865  0.06
Barbosa 1983   18  0.6213  0.0125  0.0924  0.4113  0.5511  0.47
Biret 1990   22  0.6024  0.0016  0.0912  0.5318  0.4310  0.48
Blet 2003   52  0.5379  0.0059  0.0554  0.0519  0.3546  0.13
Block 1995   60  0.5174  0.0058  0.0748  0.0740  0.1353  0.10
Blumental 1952   32  0.5887  0.0046  0.0558  0.0553  0.0572  0.05
Boshniakovich 1969   45  0.5442  0.0039  0.0637  0.2260  0.0554  0.10
Brailowsky 1960   40  0.5516  0.0130  0.0641  0.1419  0.4833  0.26
Bunin 1987   70  0.4578  0.0064  0.0652  0.0632  0.3244  0.14
Bunin 1987b   72  0.4575  0.0060  0.0564  0.0530  0.3545  0.13
Chiu 1999   21  0.6052  0.0053  0.0559  0.0526  0.2649  0.11
Cohen 1997   58  0.5238  0.0068  0.0562  0.057  0.4742  0.15
Cortot 1951   71  0.4515  0.0162  0.0466  0.0442  0.1362  0.07
Csalog 1996   65  0.4826  0.0043  0.0643  0.1320  0.3839  0.22
Czerny 1949   37  0.5617  0.0145  0.0545  0.1048  0.0757  0.08
Czerny 1990   12  0.6310  0.0224  0.0825  0.3842  0.1637  0.25
Duchoud 2007   75  0.4458  0.0071  0.0467  0.0425  0.2850  0.11
Ezaki 2006   19  0.6064  0.0054  0.0847  0.0855  0.0659  0.07
Falvay 1989   17  0.629  0.029  0.1123  0.427  0.568  0.48
Farrell 1958   11  0.6420  0.0113  0.1110  0.5512  0.536  0.54
Ferenczy 1958   62  0.5048  0.0066  0.0469  0.0444  0.1556  0.08
Fliere 1977   5  0.6618  0.017  0.206  0.6531  0.2517  0.40
Fou 1978   31  0.5882  0.0023  0.0827  0.3437  0.1936  0.25
Francois 1956   46  0.5467  0.0050  0.0557  0.0517  0.5041  0.16
Friedman 1923   57  0.5283  0.0073  0.0380  0.0367  0.0583  0.04
Friedman 1923b   55  0.5269  0.0072  0.0472  0.0458  0.0580  0.04
Friedman 1930   59  0.5165  0.0075  0.0381  0.0352  0.0678  0.04
Garcia 2007   63  0.5076  0.0069  0.0560  0.0548  0.0670  0.05
Garcia 2007b   49  0.5346  0.0032  0.0633  0.2328  0.3532  0.28
Gierzod 1998   15  0.6223  0.0020  0.0911  0.5445  0.1531  0.28
Gornostaeva 1994   61  0.5036  0.0057  0.0555  0.0546  0.0573  0.05
Groot 1988   36  0.5614  0.018  0.1119  0.459  0.4713  0.46
Harasiewicz 1955   4  0.664  0.0412  0.1214  0.5234  0.3118  0.40
Hatto 1993   9  0.6588  0.0022  0.1517  0.5028  0.2921  0.38
Hatto 1997   8  0.6533  0.0015  0.0915  0.5128  0.2722  0.37
Horowitz 1949   82  0.4059  0.0081  0.0386  0.0357  0.0676  0.04
Indjic 1988   7  0.6534  0.0021  0.1016  0.5126  0.3020  0.39
Kapell 1951   34  0.5727  0.0014  0.0818  0.4928  0.2723  0.36
Kissin 1993   23  0.6084  0.0028  0.0826  0.3642  0.2429  0.29
Kushner 1989   3  0.678  0.024  0.332  0.766  0.651  0.70
Luisada 1991   24  0.5980  0.0052  0.0749  0.0769  0.0466  0.05
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   80  0.4161  0.0079  0.0376  0.0373  0.0385  0.03
Magaloff 1978   39  0.5535  0.0031  0.0838  0.2122  0.3334  0.26
Magin 1975   54  0.5231  0.0051  0.0650  0.0653  0.0568  0.05
Michalowski 1933   87  0.3270  0.0088  0.0470  0.0469  0.0477  0.04
Milkina 1970   42  0.5530  0.0033  0.0732  0.2454  0.0647  0.12
Mohovich 1999   27  0.5929  0.0018  0.1120  0.4423  0.4614  0.45
Moravec 1969   74  0.4489  0.0082  0.0375  0.0350  0.0574  0.04
Morozova 2008   26  0.5932  0.0029  0.0928  0.3227  0.3526  0.33
Neighaus 1950   28  0.5839  0.0036  0.0531  0.2922  0.3924  0.34
Niedzielski 1931   76  0.4368  0.0078  0.0383  0.0386  0.0384  0.03
Ohlsson 1999   25  0.5922  0.0019  0.138  0.5818  0.467  0.52
Osinska 1989   10  0.656  0.036  0.185  0.6625  0.505  0.57
Pachmann 1927   69  0.4647  0.0077  0.0382  0.0314  0.4748  0.12
Paderewski 1930   81  0.4057  0.0080  0.0385  0.0379  0.0386  0.03
Perlemuter 1992   41  0.5553  0.0038  0.0536  0.2222  0.4128  0.30
Pierdomenico 2008   78  0.4354  0.0044  0.0544  0.1216  0.4538  0.23
Poblocka 1999   29  0.5862  0.0026  0.0922  0.4434  0.3419  0.39
Rabcewiczowa 1932   38  0.5619  0.0117  0.0921  0.4416  0.4016  0.42
Rachmaninoff 1923   47  0.5349  0.0056  0.0846  0.0853  0.0564  0.06
Rangell 2001   79  0.4112  0.0140  0.0835  0.2221  0.3930  0.29
Richter 1976   66  0.4711  0.0261  0.0565  0.0544  0.1655  0.09
Rosen 1989   50  0.5345  0.0048  0.0561  0.0556  0.0571  0.05
Rosenthal 1930   83  0.4066  0.0076  0.0374  0.0337  0.2358  0.08
Rosenthal 1931   85  0.3343  0.0085  0.0384  0.0342  0.1660  0.07
Rosenthal 1931b   86  0.3286  0.0086  0.0377  0.0349  0.0681  0.04
Rosenthal 1931c   84  0.3490  0.0084  0.0387  0.0346  0.0682  0.04
Rosenthal 1931d   88  0.2971  0.0087  0.0388  0.0370  0.0489  0.03
Rossi 2007   77  0.4372  0.0083  0.0378  0.0358  0.0575  0.04
Rubinstein 1939   30  0.5837  0.0027  0.0730  0.2925  0.3627  0.32
Rubinstein 1952   16  0.622  0.093  0.267  0.627  0.633  0.62
Rubinstein 1966   2  0.717  0.022  0.213  0.756  0.652  0.70
Schilhawsky 1960   43  0.5428  0.0041  0.0639  0.1937  0.2040  0.19
Shebanova 2002   6  0.655  0.035  0.194  0.7011  0.544  0.61
Smith 1975   44  0.5455  0.0049  0.0556  0.0537  0.2151  0.10
Sokolov 2002   64  0.4956  0.0055  0.0651  0.0657  0.0567  0.05
Sztompka 1959   33  0.5740  0.0037  0.0534  0.2369  0.0452  0.10
Tomsic 1995   56  0.5281  0.0034  0.0742  0.1314  0.5435  0.26
Uninsky 1932   73  0.4463  0.0074  0.0379  0.0369  0.0487  0.03
Uninsky 1971   68  0.4660  0.0065  0.0468  0.0452  0.0669  0.05
Wasowski 1980   35  0.5721  0.0042  0.0640  0.1845  0.1143  0.14
Zak 1937   14  0.633  0.0510  0.1113  0.5227  0.3815  0.44
Zak 1951   13  0.6325  0.0011  0.209  0.5725  0.419  0.48
Average   1  0.751  0.541  0.531  0.8538  0.2512  0.46
Random 1   91  -0.1741  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   89  -0.0485  0.0089  0.0190  0.0167  0.0390  0.02
Random 3   90  -0.1191  0.0090  0.0289  0.0270  0.0488  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).