Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   85  0.2374  0.0085  0.0481  0.0480  0.0388  0.03
Anderszewski 2003   11  0.5629  0.0017  0.078  0.5918  0.5110  0.55
Ashkenazy 1981   75  0.3275  0.0067  0.0478  0.0428  0.2670  0.10
Bacha 2000   72  0.3480  0.0077  0.0558  0.0521  0.3848  0.14
Badura 1965   60  0.4064  0.0061  0.0472  0.0425  0.3557  0.12
Barbosa 1983   13  0.557  0.0310  0.1119  0.5023  0.4324  0.46
Biret 1990   33  0.4921  0.0020  0.0718  0.5123  0.4322  0.47
Blet 2003   59  0.4081  0.0066  0.0473  0.0421  0.2669  0.10
Block 1995   32  0.4957  0.0042  0.0742  0.1812  0.5140  0.30
Blumental 1952   48  0.4386  0.0065  0.0557  0.0560  0.0576  0.05
Boshniakovich 1969   50  0.4348  0.0037  0.0837  0.2662  0.0563  0.11
Brailowsky 1960   29  0.5018  0.0114  0.0739  0.2329  0.4239  0.31
Bunin 1987   53  0.4265  0.0041  0.0941  0.1911  0.4741  0.30
Bunin 1987b   56  0.4130  0.0040  0.0940  0.2110  0.5237  0.33
Chiu 1999   54  0.4252  0.0063  0.0477  0.0434  0.2072  0.09
Cohen 1997   70  0.3554  0.0075  0.0467  0.0415  0.3164  0.11
Cortot 1951   74  0.3211  0.0260  0.0465  0.0440  0.2371  0.10
Csalog 1996   38  0.4634  0.0047  0.0549  0.0534  0.2168  0.10
Czerny 1949   26  0.5020  0.0030  0.0935  0.3129  0.5033  0.39
Czerny 1990   10  0.5615  0.0119  0.1016  0.5233  0.4719  0.49
Duchoud 2007   73  0.3338  0.0055  0.0560  0.054  0.5943  0.17
Ezaki 2006   17  0.5369  0.0031  0.0928  0.4031  0.2736  0.33
Falvay 1989   6  0.589  0.028  0.144  0.6613  0.614  0.63
Farrell 1958   20  0.5126  0.0025  0.1121  0.4813  0.5814  0.53
Ferenczy 1958   57  0.4168  0.0069  0.0386  0.0341  0.1573  0.07
Fliere 1977   8  0.5716  0.015  0.1512  0.5612  0.5113  0.53
Fou 1978   51  0.4370  0.0045  0.0745  0.0736  0.1955  0.12
Francois 1956   55  0.4276  0.0054  0.0554  0.058  0.5244  0.16
Friedman 1923   66  0.3683  0.0072  0.0479  0.0427  0.3265  0.11
Friedman 1923b   67  0.3684  0.0071  0.0480  0.0424  0.3958  0.12
Friedman 1930   68  0.3677  0.0073  0.0468  0.0445  0.0874  0.06
Garcia 2007   76  0.3171  0.0080  0.0559  0.0564  0.0483  0.04
Garcia 2007b   47  0.4385  0.0038  0.0738  0.2420  0.4638  0.33
Gierzod 1998   7  0.5817  0.016  0.117  0.6124  0.4415  0.52
Gornostaeva 1994   22  0.5128  0.0036  0.0831  0.3522  0.4134  0.38
Groot 1988   45  0.448  0.0311  0.0825  0.4212  0.4229  0.42
Harasiewicz 1955   3  0.596  0.049  0.156  0.6413  0.616  0.62
Hatto 1993   16  0.5482  0.0022  0.0914  0.5416  0.5016  0.52
Hatto 1997   15  0.5440  0.0016  0.0711  0.5612  0.5312  0.54
Horowitz 1949   83  0.2759  0.0083  0.0476  0.0465  0.0481  0.04
Indjic 1988   14  0.5535  0.0021  0.0813  0.5515  0.5311  0.54
Kapell 1951   18  0.5236  0.0029  0.0926  0.4227  0.4626  0.44
Kissin 1993   19  0.5178  0.0035  0.0933  0.3419  0.5228  0.42
Kushner 1989   9  0.5610  0.027  0.125  0.6615  0.517  0.58
Luisada 1991   63  0.3979  0.0076  0.0469  0.0450  0.0577  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   28  0.5023  0.0028  0.1127  0.4133  0.3732  0.39
Magaloff 1978   25  0.5049  0.0034  0.0934  0.3320  0.4531  0.39
Magin 1975   31  0.5031  0.0033  0.0829  0.3919  0.4925  0.44
Michalowski 1933   87  0.1355  0.0087  0.0384  0.0364  0.0387  0.03
Milkina 1970   23  0.5112  0.0213  0.0915  0.5327  0.4023  0.46
Mohovich 1999   27  0.5032  0.0024  0.1223  0.4524  0.4327  0.44
Moravec 1969   35  0.4950  0.0044  0.0644  0.1237  0.1845  0.15
Morozova 2008   52  0.4333  0.0051  0.0556  0.0533  0.2360  0.11
Neighaus 1950   49  0.4353  0.0056  0.0463  0.0411  0.5252  0.14
Niedzielski 1931   84  0.2360  0.0084  0.0383  0.0363  0.0580  0.04
Ohlsson 1999   34  0.4922  0.0023  0.1117  0.523  0.648  0.58
Osinska 1989   2  0.602  0.153  0.293  0.7114  0.633  0.67
Pachmann 1927   79  0.3061  0.0079  0.0552  0.0523  0.4050  0.14
Paderewski 1930   86  0.1487  0.0086  0.0385  0.0370  0.0486  0.03
Perlemuter 1992   77  0.3066  0.0062  0.0466  0.0434  0.2566  0.10
Pierdomenico 2008   78  0.3045  0.0070  0.0387  0.0328  0.3667  0.10
Poblocka 1999   5  0.5837  0.0018  0.1010  0.5611  0.569  0.56
Rabcewiczowa 1932   37  0.4825  0.0012  0.0920  0.507  0.5017  0.50
Rachmaninoff 1923   62  0.3939  0.0058  0.0470  0.0456  0.0579  0.04
Rangell 2001   36  0.495  0.0415  0.0732  0.356  0.6221  0.47
Richter 1976   39  0.4614  0.0143  0.0643  0.1329  0.3342  0.21
Rosen 1989   44  0.4451  0.0050  0.0555  0.0536  0.2662  0.11
Rosenthal 1930   64  0.3824  0.0059  0.0382  0.0323  0.4161  0.11
Rosenthal 1931   69  0.3627  0.0068  0.0553  0.0524  0.3951  0.14
Rosenthal 1931b   80  0.3042  0.0078  0.0551  0.0525  0.3453  0.13
Rosenthal 1931c   71  0.3588  0.0074  0.0464  0.0462  0.0585  0.04
Rosenthal 1931d   81  0.2763  0.0082  0.0474  0.0459  0.0484  0.04
Rossi 2007   82  0.2743  0.0081  0.0471  0.0470  0.0478  0.04
Rubinstein 1939   42  0.4546  0.0039  0.1136  0.2822  0.4235  0.34
Rubinstein 1952   4  0.593  0.062  0.322  0.734  0.682  0.70
Rubinstein 1966   1  0.641  0.381  0.381  0.764  0.731  0.74
Schilhawsky 1960   58  0.4058  0.0057  0.0561  0.0552  0.0575  0.05
Shebanova 2002   12  0.564  0.044  0.139  0.581  0.685  0.63
Smith 1975   41  0.4556  0.0052  0.0550  0.0533  0.2954  0.12
Sokolov 2002   61  0.4067  0.0064  0.0475  0.0432  0.3359  0.11
Sztompka 1959   43  0.4441  0.0048  0.0646  0.0632  0.3646  0.15
Tomsic 1995   46  0.4489  0.0049  0.0648  0.0624  0.3449  0.14
Uninsky 1932   65  0.3662  0.0053  0.0562  0.0526  0.4347  0.15
Uninsky 1971   40  0.4547  0.0046  0.0647  0.0639  0.2656  0.12
Wasowski 1980   21  0.5113  0.0132  0.0930  0.3622  0.4430  0.40
Zak 1937   30  0.5019  0.0127  0.1024  0.4316  0.5120  0.47
Zak 1951   24  0.5144  0.0026  0.0922  0.4617  0.5318  0.49
Random 1   90  -0.1472  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   88  0.0273  0.0088  0.0288  0.0241  0.0982  0.04
Random 3   89  -0.1190  0.0089  0.0189  0.0156  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).