Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6624  0.0013  0.1010  0.496  0.527  0.50
Anderszewski 2003   67  0.4316  0.0127  0.0728  0.2225  0.3031  0.26
Ashkenazy 1981   31  0.5848  0.0028  0.0720  0.3037  0.1936  0.24
Bacha 2000   45  0.5237  0.0066  0.0375  0.0328  0.3649  0.10
Badura 1965   57  0.486  0.0415  0.1027  0.246  0.5818  0.37
Barbosa 1983   56  0.4942  0.0035  0.0533  0.1931  0.3630  0.26
Biret 1990   51  0.5064  0.0061  0.0471  0.0447  0.0674  0.05
Blet 2003   28  0.5969  0.0044  0.0840  0.1723  0.3535  0.24
Block 1995   43  0.5254  0.0052  0.0466  0.0427  0.2653  0.10
Blumental 1952   80  0.2847  0.0076  0.0373  0.0380  0.0387  0.03
Boshniakovich 1969   39  0.5425  0.0048  0.0552  0.0530  0.3146  0.12
Brailowsky 1960   44  0.5236  0.0065  0.0462  0.0439  0.1264  0.07
Bunin 1987   19  0.6012  0.0216  0.0917  0.3523  0.3622  0.35
Bunin 1987b   18  0.6015  0.0117  0.1116  0.3523  0.3521  0.35
Chiu 1999   70  0.3970  0.0070  0.0463  0.0475  0.0475  0.04
Cohen 1997   75  0.3646  0.0074  0.0376  0.0328  0.2858  0.09
Cortot 1951   71  0.3989  0.0075  0.0382  0.0364  0.0488  0.03
Csalog 1996   60  0.4757  0.0062  0.0374  0.0333  0.2756  0.09
Czerny 1949   52  0.4958  0.0051  0.0464  0.0434  0.2552  0.10
Czerny 1990   17  0.6144  0.0022  0.0924  0.2820  0.3126  0.29
Duchoud 2007   55  0.4980  0.0054  0.0459  0.0443  0.1266  0.07
Ezaki 2006   4  0.7220  0.013  0.142  0.646  0.642  0.64
Falvay 1989   3  0.739  0.034  0.174  0.634  0.671  0.65
Farrell 1958   63  0.4528  0.0073  0.0377  0.0345  0.1072  0.05
Ferenczy 1958   42  0.5351  0.0063  0.0379  0.0322  0.3651  0.10
Fliere 1977   23  0.5965  0.0033  0.0526  0.2529  0.2432  0.24
Fou 1978   8  0.6713  0.0110  0.139  0.5015  0.469  0.48
Francois 1956   15  0.6211  0.0214  0.1214  0.3814  0.4716  0.42
Friedman 1923   87  0.0177  0.0090  0.0287  0.0272  0.0489  0.03
Friedman 1923b   88  0.0178  0.0089  0.0188  0.0174  0.0491  0.02
Friedman 1930   86  0.1881  0.0085  0.0372  0.0373  0.0384  0.03
Garcia 2007   82  0.2682  0.0082  0.0286  0.0251  0.0686  0.03
Garcia 2007b   84  0.2133  0.0083  0.0385  0.0329  0.2659  0.09
Gierzod 1998   49  0.5166  0.0026  0.0832  0.1929  0.1937  0.19
Gornostaeva 1994   25  0.5919  0.0119  0.0918  0.3526  0.3123  0.33
Groot 1988   2  0.732  0.075  0.173  0.647  0.553  0.59
Harasiewicz 1955   32  0.587  0.042  0.125  0.588  0.456  0.51
Hatto 1993   74  0.3645  0.0057  0.0551  0.0568  0.0482  0.04
Hatto 1997   66  0.4321  0.0130  0.0638  0.1837  0.1342  0.15
Horowitz 1949   58  0.4841  0.0049  0.0548  0.0531  0.2150  0.10
Indjic 1988   69  0.4055  0.0055  0.0550  0.0544  0.1065  0.07
Kapell 1951   38  0.5586  0.0064  0.0470  0.0453  0.0578  0.04
Kissin 1993   6  0.703  0.076  0.1711  0.4713  0.4810  0.47
Kushner 1989   27  0.5962  0.0041  0.0629  0.2127  0.2833  0.24
Luisada 1991   33  0.5718  0.0125  0.0721  0.2925  0.3324  0.31
Lushtak 2004   16  0.614  0.068  0.1013  0.4014  0.4912  0.44
Malcuzynski 1961   5  0.7235  0.0011  0.117  0.5413  0.458  0.49
Magaloff 1978   26  0.5953  0.0039  0.0536  0.1845  0.0944  0.13
Magin 1975   59  0.4850  0.0056  0.0555  0.0528  0.2448  0.11
Michalowski 1933   83  0.2574  0.0077  0.0468  0.0467  0.0479  0.04
Milkina 1970   13  0.6329  0.0021  0.0725  0.2710  0.4520  0.35
Mohovich 1999   7  0.7083  0.0012  0.176  0.557  0.614  0.58
Moravec 1969   47  0.5127  0.0071  0.0460  0.0434  0.1560  0.08
Morozova 2008   46  0.5114  0.0132  0.0539  0.1741  0.1243  0.14
Neighaus 1950   9  0.6723  0.009  0.118  0.5315  0.525  0.52
Niedzielski 1931   79  0.3290  0.0084  0.0381  0.0378  0.0383  0.03
Ohlsson 1999   40  0.5440  0.0037  0.0641  0.1555  0.0555  0.09
Osinska 1989   53  0.4979  0.0060  0.0549  0.0556  0.0571  0.05
Pachmann 1927   41  0.5317  0.0131  0.0635  0.1816  0.5125  0.30
Paderewski 1930   50  0.5043  0.0050  0.0553  0.0537  0.1554  0.09
Perlemuter 1992   30  0.5871  0.0023  0.0822  0.2915  0.4717  0.37
Pierdomenico 2008   62  0.4638  0.0069  0.0378  0.0342  0.1467  0.06
Poblocka 1999   22  0.5967  0.0043  0.0642  0.1537  0.1740  0.16
Rabcewiczowa 1932   61  0.4722  0.0053  0.0458  0.0426  0.3645  0.12
Rachmaninoff 1923   72  0.3663  0.0058  0.0546  0.0553  0.0476  0.04
Rangell 2001   36  0.5652  0.0046  0.0547  0.0525  0.2847  0.12
Richter 1976   34  0.5731  0.0029  0.0631  0.2015  0.3927  0.28
Rosen 1989   48  0.5172  0.0059  0.0456  0.0460  0.0481  0.04
Rosenthal 1930   76  0.3575  0.0078  0.0384  0.0344  0.0973  0.05
Rosenthal 1931   77  0.3456  0.0067  0.0380  0.0328  0.2362  0.08
Rosenthal 1931b   78  0.3268  0.0079  0.0383  0.0343  0.1370  0.06
Rosenthal 1931c   65  0.4332  0.0068  0.0467  0.0438  0.1663  0.08
Rosenthal 1931d   73  0.3687  0.0080  0.0465  0.0445  0.0869  0.06
Rossi 2007   85  0.2188  0.0081  0.0469  0.0434  0.1861  0.08
Rubinstein 1939   81  0.2876  0.0086  0.0554  0.0561  0.0477  0.04
Rubinstein 1952   12  0.635  0.0520  0.0723  0.2913  0.4719  0.37
Rubinstein 1966   14  0.6230  0.0024  0.0919  0.316  0.6115  0.43
Schilhawsky 1960   68  0.4259  0.0072  0.0457  0.0457  0.0580  0.04
Shebanova 2002   24  0.5973  0.0042  0.0543  0.1441  0.2239  0.18
Smith 1975   11  0.648  0.047  0.1012  0.4315  0.4313  0.43
Sokolov 2002   20  0.6026  0.0040  0.0630  0.2028  0.3528  0.26
Sztompka 1959   29  0.5839  0.0036  0.0634  0.1829  0.3334  0.24
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   54  0.4934  0.0047  0.0461  0.0432  0.1957  0.09
Uninsky 1971   37  0.5591  0.0045  0.0644  0.1236  0.2738  0.18
Wasowski 1980   64  0.4410  0.0334  0.0645  0.1235  0.2041  0.15
Zak 1937   35  0.5784  0.0038  0.0537  0.1822  0.3829  0.26
Zak 1951   21  0.6085  0.0018  0.0815  0.3813  0.4914  0.43
Average   1  0.761  0.361  0.361  0.7224  0.3111  0.47
Random 1   90  -0.0260  0.0087  0.0189  0.0113  0.3868  0.06
Random 2   91  -0.0649  0.0088  0.0190  0.0143  0.1185  0.03
Random 3   89  -0.0161  0.0091  0.0191  0.0157  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).