Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.4235  0.0062  0.0375  0.0328  0.3165  0.10
Anderszewski 2003   18  0.5110  0.017  0.158  0.5612  0.578  0.56
Ashkenazy 1981   49  0.4371  0.0058  0.0659  0.0617  0.4255  0.16
Bacha 2000   71  0.3572  0.0074  0.0372  0.0367  0.0384  0.03
Badura 1965   57  0.4155  0.0053  0.0845  0.0817  0.4346  0.19
Barbosa 1983   17  0.5227  0.0014  0.1113  0.4619  0.4918  0.47
Biret 1990   22  0.5052  0.0019  0.0816  0.4222  0.4323  0.42
Blet 2003   34  0.4833  0.0048  0.0561  0.053  0.5354  0.16
Block 1995   87  0.2667  0.0076  0.0377  0.0379  0.0487  0.03
Blumental 1952   52  0.4381  0.0059  0.0657  0.0650  0.0677  0.06
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   72  0.3585  0.0075  0.0381  0.0357  0.0680  0.04
Bunin 1987   42  0.4620  0.0143  0.0543  0.119  0.5240  0.24
Bunin 1987b   44  0.4546  0.0050  0.0656  0.0611  0.5051  0.17
Chiu 1999   76  0.3473  0.0081  0.0466  0.0451  0.0678  0.05
Cohen 1997   73  0.3569  0.0070  0.0467  0.0420  0.2766  0.10
Cortot 1951   85  0.2763  0.0069  0.0470  0.0439  0.2367  0.10
Csalog 1996   37  0.4723  0.0044  0.0544  0.0921  0.3452  0.17
Czerny 1949   5  0.5815  0.016  0.247  0.5917  0.666  0.62
Czerny 1990   10  0.5459  0.0012  0.1411  0.5125  0.599  0.55
Duchoud 2007   75  0.3418  0.0183  0.0371  0.0340  0.2372  0.08
Ezaki 2006   56  0.4178  0.0061  0.0652  0.0655  0.0673  0.06
Falvay 1989   35  0.4839  0.0018  0.0721  0.3738  0.3525  0.36
Farrell 1958   67  0.3965  0.0066  0.0468  0.0448  0.0876  0.06
Ferenczy 1958   66  0.3982  0.0071  0.0373  0.0334  0.2869  0.09
Fliere 1977   15  0.533  0.0313  0.1112  0.5013  0.5114  0.50
Fou 1978   25  0.5031  0.0035  0.0630  0.2720  0.4030  0.33
Francois 1956   59  0.4026  0.0064  0.0383  0.0316  0.4063  0.11
Friedman 1923   77  0.3486  0.0072  0.0463  0.0416  0.5158  0.14
Friedman 1923b   74  0.3483  0.0073  0.0650  0.0618  0.4653  0.17
Friedman 1930   69  0.3832  0.0063  0.0378  0.0332  0.2568  0.09
Garcia 2007   62  0.4030  0.0052  0.0747  0.0717  0.4945  0.19
Garcia 2007b   65  0.3975  0.0047  0.0654  0.0624  0.4156  0.16
Gierzod 1998   1  0.642  0.312  0.402  0.7210  0.602  0.66
Gornostaeva 1994   6  0.577  0.023  0.165  0.621  0.713  0.66
Groot 1988   63  0.4022  0.0060  0.0846  0.0843  0.1071  0.09
Harasiewicz 1955   8  0.5719  0.019  0.1410  0.5317  0.5710  0.55
Hatto 1993   39  0.4625  0.0031  0.0833  0.2530  0.3334  0.29
Hatto 1997   40  0.4650  0.0027  0.0728  0.2931  0.3532  0.32
Horowitz 1949   81  0.3134  0.0078  0.0386  0.0326  0.3164  0.10
Indjic 1988   38  0.4687  0.0030  0.0631  0.2728  0.3433  0.30
Kapell 1951   29  0.4947  0.0041  0.0441  0.1335  0.3542  0.21
Kissin 1993   12  0.5338  0.0015  0.1114  0.4410  0.6211  0.52
Kushner 1989   2  0.621  0.391  0.391  0.745  0.661  0.70
Luisada 1991   31  0.4817  0.0142  0.0442  0.1119  0.4741  0.23
Lushtak 2004   51  0.4374  0.0045  0.0562  0.0537  0.2662  0.11
Malcuzynski 1961   4  0.596  0.025  0.184  0.658  0.624  0.63
Magaloff 1978   48  0.4460  0.0051  0.0651  0.0633  0.3060  0.13
Magin 1975   9  0.5616  0.0110  0.1215  0.437  0.6112  0.51
Michalowski 1933   79  0.3229  0.0082  0.0469  0.0411  0.4957  0.14
Milkina 1970   3  0.595  0.024  0.243  0.6714  0.575  0.62
Mohovich 1999   45  0.4564  0.0032  0.0634  0.2433  0.2639  0.25
Moravec 1969   36  0.479  0.0128  0.0627  0.2924  0.3929  0.34
Morozova 2008   16  0.5348  0.0016  0.0717  0.414  0.6215  0.50
Neighaus 1950   41  0.4651  0.0049  0.0660  0.064  0.5947  0.19
Niedzielski 1931   78  0.3366  0.0080  0.0374  0.0339  0.1374  0.06
Ohlsson 1999   33  0.4856  0.0034  0.0739  0.1421  0.4338  0.25
Osinska 1989   7  0.5713  0.018  0.176  0.6118  0.597  0.60
Pachmann 1927   47  0.4437  0.0057  0.0653  0.061  0.6644  0.20
Paderewski 1930   60  0.4061  0.0056  0.0658  0.062  0.6743  0.20
Perlemuter 1992   68  0.3868  0.0068  0.0382  0.0323  0.3761  0.11
Pierdomenico 2008   53  0.4262  0.0055  0.0649  0.0612  0.5449  0.18
Poblocka 1999   50  0.4342  0.0029  0.0837  0.1941  0.1748  0.18
Rabcewiczowa 1932   58  0.4028  0.0054  0.0748  0.0752  0.0575  0.06
Rachmaninoff 1923   83  0.3088  0.0079  0.0385  0.0376  0.0385  0.03
Rangell 2001   46  0.4445  0.0046  0.0655  0.0614  0.5250  0.18
Richter 1976   20  0.5036  0.0025  0.0724  0.3316  0.5922  0.44
Rosen 1989   13  0.5311  0.0123  0.0726  0.2918  0.4527  0.36
Rosenthal 1930   82  0.3076  0.0086  0.0287  0.0273  0.0390  0.02
Rosenthal 1931   80  0.3184  0.0084  0.0465  0.0467  0.0481  0.04
Rosenthal 1931b   84  0.3070  0.0085  0.0376  0.0372  0.0489  0.03
Rosenthal 1931c   70  0.3743  0.0077  0.0384  0.0351  0.0779  0.05
Rosenthal 1931d   86  0.2779  0.0087  0.0380  0.0369  0.0488  0.03
Rossi 2007   64  0.3977  0.0067  0.0464  0.0421  0.4059  0.13
Rubinstein 1939   21  0.5021  0.0037  0.0832  0.2617  0.4926  0.36
Rubinstein 1952   27  0.4957  0.0022  0.0725  0.3234  0.2635  0.29
Rubinstein 1966   14  0.534  0.0311  0.129  0.5424  0.4913  0.51
Schilhawsky 1960   19  0.5114  0.0133  0.0636  0.2118  0.4931  0.32
Shebanova 2002   55  0.4153  0.0065  0.0379  0.0353  0.0582  0.04
Smith 1975   28  0.498  0.0117  0.0822  0.357  0.6019  0.46
Sokolov 2002   11  0.5412  0.0126  0.0823  0.334  0.6717  0.47
Sztompka 1959   32  0.4844  0.0038  0.0835  0.2219  0.5528  0.35
Tomsic 1995   43  0.4541  0.0039  0.0738  0.1520  0.4137  0.25
Uninsky 1932   61  0.4049  0.0040  0.0540  0.1314  0.6136  0.28
Uninsky 1971   30  0.4858  0.0036  0.0829  0.2816  0.5224  0.38
Wasowski 1980   24  0.5040  0.0020  0.0719  0.3811  0.5421  0.45
Zak 1937   26  0.5024  0.0024  0.0720  0.3713  0.5820  0.46
Zak 1951   23  0.5080  0.0021  0.0818  0.3914  0.5816  0.48
Random 1   90  -0.0289  0.0089  0.0189  0.0142  0.1483  0.04
Random 2   89  0.0054  0.0090  0.0190  0.0140  0.1086  0.03
Random 3   88  0.0190  0.0088  0.0288  0.029  0.4570  0.09

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).