Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   86  0.2375  0.0086  0.0382  0.0381  0.0389  0.03
Anderszewski 2003   12  0.5629  0.0018  0.079  0.5919  0.5111  0.55
Ashkenazy 1981   76  0.3276  0.0068  0.0479  0.0429  0.2671  0.10
Bacha 2000   73  0.3481  0.0078  0.0559  0.0522  0.3848  0.14
Badura 1965   61  0.4062  0.0062  0.0473  0.0426  0.3558  0.12
Barbosa 1983   14  0.554  0.0311  0.1120  0.5024  0.4325  0.46
Biret 1990   34  0.4924  0.0021  0.0719  0.5124  0.4323  0.47
Blet 2003   60  0.4086  0.0067  0.0474  0.0422  0.2670  0.10
Block 1995   33  0.4957  0.0043  0.0743  0.1813  0.5141  0.30
Blumental 1952   49  0.4387  0.0066  0.0558  0.0561  0.0576  0.05
Boshniakovich 1969   51  0.4363  0.0038  0.0838  0.2663  0.0563  0.11
Brailowsky 1960   30  0.5017  0.0115  0.0740  0.2330  0.4240  0.31
Bunin 1987   54  0.4264  0.0042  0.0942  0.1912  0.4742  0.30
Bunin 1987b   57  0.4130  0.0041  0.0941  0.2111  0.5238  0.33
Chiu 1999   55  0.4248  0.0064  0.0478  0.0435  0.2073  0.09
Cohen 1997   71  0.3553  0.0076  0.0468  0.0416  0.3164  0.11
Cortot 1951   75  0.328  0.0261  0.0466  0.0441  0.2372  0.10
Csalog 1996   39  0.4633  0.0048  0.0550  0.0535  0.2169  0.10
Czerny 1949   27  0.5022  0.0031  0.0936  0.3130  0.5034  0.39
Czerny 1990   11  0.5614  0.0120  0.1017  0.5234  0.4720  0.49
Duchoud 2007   74  0.3335  0.0056  0.0561  0.055  0.5944  0.17
Ezaki 2006   18  0.5369  0.0032  0.0929  0.4032  0.2737  0.33
Falvay 1989   7  0.587  0.029  0.145  0.6614  0.615  0.63
Farrell 1958   21  0.5128  0.0026  0.1122  0.4814  0.5815  0.53
Ferenczy 1958   58  0.4168  0.0070  0.0387  0.0342  0.1574  0.07
Fliere 1977   9  0.5723  0.006  0.1513  0.5613  0.5114  0.53
Fou 1978   52  0.4370  0.0046  0.0746  0.0737  0.1956  0.12
Francois 1956   56  0.4277  0.0055  0.0555  0.059  0.5245  0.16
Friedman 1923   67  0.3683  0.0073  0.0480  0.0428  0.3266  0.11
Friedman 1923b   68  0.3684  0.0072  0.0381  0.0325  0.3965  0.11
Friedman 1930   69  0.3678  0.0074  0.0469  0.0446  0.0775  0.05
Garcia 2007   77  0.3171  0.0081  0.0560  0.0565  0.0484  0.04
Garcia 2007b   48  0.4385  0.0039  0.0739  0.2421  0.4639  0.33
Gierzod 1998   8  0.5819  0.007  0.118  0.6125  0.4416  0.52
Gornostaeva 1994   23  0.5127  0.0037  0.0732  0.3523  0.4135  0.38
Groot 1988   46  0.4410  0.0112  0.0826  0.4213  0.4230  0.42
Harasiewicz 1955   4  0.595  0.0210  0.157  0.6414  0.617  0.62
Hatto 1993   17  0.5482  0.0023  0.0915  0.5417  0.5017  0.52
Hatto 1997   16  0.5440  0.0017  0.0712  0.5613  0.5313  0.54
Horowitz 1949   84  0.2758  0.0084  0.0477  0.0466  0.0481  0.04
Indjic 1988   15  0.5536  0.0022  0.0814  0.5516  0.5312  0.54
Kapell 1951   19  0.5237  0.0030  0.0927  0.4228  0.4627  0.44
Kissin 1993   20  0.5179  0.0036  0.0934  0.3420  0.5229  0.42
Kushner 1989   10  0.5616  0.018  0.126  0.6616  0.518  0.58
Luisada 1991   64  0.3980  0.0077  0.0470  0.0451  0.0577  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   29  0.5026  0.0029  0.1128  0.4134  0.3733  0.39
Magaloff 1978   26  0.5045  0.0035  0.0935  0.3321  0.4532  0.39
Magin 1975   32  0.5031  0.0034  0.0830  0.3920  0.4926  0.44
Michalowski 1933   88  0.1354  0.0088  0.0385  0.0365  0.0388  0.03
Milkina 1970   24  0.5113  0.0114  0.0816  0.5328  0.4024  0.46
Mohovich 1999   28  0.5065  0.0025  0.1224  0.4525  0.4328  0.44
Moravec 1969   36  0.4946  0.0045  0.0645  0.1238  0.1846  0.15
Morozova 2008   53  0.4332  0.0052  0.0557  0.0534  0.2360  0.11
Neighaus 1950   50  0.4349  0.0057  0.0464  0.0412  0.5252  0.14
Niedzielski 1931   85  0.2359  0.0085  0.0384  0.0364  0.0580  0.04
Ohlsson 1999   35  0.4920  0.0024  0.1018  0.524  0.649  0.58
Osinska 1989   3  0.602  0.054  0.294  0.7115  0.634  0.67
Pachmann 1927   80  0.3060  0.0080  0.0553  0.0524  0.4050  0.14
Paderewski 1930   87  0.1488  0.0087  0.0386  0.0371  0.0487  0.03
Perlemuter 1992   78  0.3066  0.0063  0.0467  0.0435  0.2567  0.10
Pierdomenico 2008   79  0.3050  0.0071  0.0388  0.0329  0.3668  0.10
Poblocka 1999   6  0.5834  0.0019  0.1011  0.5612  0.5610  0.56
Rabcewiczowa 1932   38  0.4838  0.0013  0.0921  0.508  0.5018  0.50
Rachmaninoff 1923   63  0.3939  0.0059  0.0471  0.0457  0.0579  0.04
Rangell 2001   37  0.493  0.0316  0.0733  0.357  0.6222  0.47
Richter 1976   40  0.4615  0.0144  0.0644  0.1330  0.3343  0.21
Rosen 1989   45  0.4447  0.0051  0.0556  0.0537  0.2662  0.11
Rosenthal 1930   65  0.3821  0.0060  0.0383  0.0324  0.4161  0.11
Rosenthal 1931   70  0.3625  0.0069  0.0554  0.0525  0.3951  0.14
Rosenthal 1931b   81  0.3042  0.0079  0.0552  0.0526  0.3454  0.13
Rosenthal 1931c   72  0.3589  0.0075  0.0465  0.0463  0.0586  0.04
Rosenthal 1931d   82  0.2761  0.0083  0.0475  0.0460  0.0485  0.04
Rossi 2007   83  0.2751  0.0082  0.0472  0.0471  0.0478  0.04
Rubinstein 1939   43  0.4543  0.0040  0.1037  0.2823  0.4236  0.34
Rubinstein 1952   5  0.599  0.023  0.323  0.735  0.683  0.70
Rubinstein 1966   2  0.6411  0.012  0.372  0.765  0.731  0.74
Schilhawsky 1960   59  0.4056  0.0058  0.0462  0.0453  0.0582  0.04
Shebanova 2002   13  0.566  0.025  0.1310  0.582  0.686  0.63
Smith 1975   42  0.4555  0.0053  0.0551  0.0534  0.2955  0.12
Sokolov 2002   62  0.4067  0.0065  0.0476  0.0433  0.3359  0.11
Sztompka 1959   44  0.4441  0.0049  0.0647  0.0633  0.3647  0.15
Tomsic 1995   47  0.4490  0.0050  0.0649  0.0625  0.3449  0.14
Uninsky 1932   66  0.3672  0.0054  0.0463  0.0427  0.4353  0.13
Uninsky 1971   41  0.4544  0.0047  0.0648  0.0640  0.2657  0.12
Wasowski 1980   22  0.5112  0.0133  0.0931  0.3623  0.4431  0.40
Zak 1937   31  0.5018  0.0128  0.1025  0.4317  0.5121  0.47
Zak 1951   25  0.5152  0.0027  0.0823  0.4618  0.5319  0.49
Average   1  0.701  0.631  0.621  0.8520  0.582  0.70
Random 1   91  -0.1473  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   89  0.0274  0.0089  0.0289  0.0241  0.0983  0.04
Random 3   90  -0.1191  0.0090  0.0190  0.0162  0.0390  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).