Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5674  0.0046  0.0553  0.0543  0.1064  0.07
Anderszewski 2003   22  0.5832  0.0026  0.0830  0.2316  0.4823  0.33
Ashkenazy 1981   2  0.702  0.232  0.391  0.635  0.611  0.62
Bacha 2000   56  0.5055  0.0048  0.0548  0.059  0.5439  0.16
Badura 1965   69  0.4456  0.0051  0.0456  0.0425  0.3050  0.11
Barbosa 1983   58  0.5065  0.0024  0.0833  0.2016  0.4626  0.30
Biret 1990   5  0.6757  0.003  0.113  0.533  0.663  0.59
Blet 2003   32  0.5572  0.0050  0.0646  0.0635  0.2248  0.11
Block 1995   78  0.3939  0.0082  0.0377  0.0374  0.0385  0.03
Blumental 1952   79  0.3876  0.0073  0.0473  0.0440  0.1365  0.07
Boshniakovich 1969   61  0.4929  0.0075  0.0375  0.0348  0.0580  0.04
Brailowsky 1960   47  0.5236  0.0065  0.0467  0.0435  0.1661  0.08
Bunin 1987   39  0.5454  0.0058  0.0466  0.0451  0.0676  0.05
Bunin 1987b   38  0.5469  0.0059  0.0745  0.0749  0.0668  0.06
Chiu 1999   35  0.5518  0.019  0.095  0.515  0.654  0.58
Cohen 1997   76  0.4126  0.0062  0.0379  0.0314  0.4051  0.11
Cortot 1951   59  0.5025  0.0061  0.0471  0.0435  0.2259  0.09
Csalog 1996   34  0.5528  0.0019  0.0721  0.297  0.5617  0.40
Czerny 1949   54  0.5134  0.0052  0.0550  0.0537  0.1657  0.09
Czerny 1990   24  0.5877  0.0039  0.0631  0.2044  0.0946  0.13
Duchoud 2007   1  0.721  0.291  0.292  0.593  0.592  0.59
Ezaki 2006   8  0.6645  0.0014  0.128  0.4911  0.4810  0.48
Falvay 1989   55  0.5162  0.0029  0.0924  0.2631  0.2033  0.23
Farrell 1958   50  0.5181  0.0074  0.0376  0.0336  0.2062  0.08
Ferenczy 1958   74  0.4287  0.0081  0.0468  0.0454  0.0578  0.04
Fliere 1977   3  0.6737  0.0018  0.0913  0.4220  0.4413  0.43
Fou 1978   57  0.504  0.046  0.0927  0.2434  0.2432  0.24
Francois 1956   31  0.5520  0.0132  0.0835  0.1937  0.1638  0.17
Friedman 1923   84  0.2882  0.0079  0.0380  0.0325  0.2960  0.09
Friedman 1923b   81  0.2878  0.0078  0.0383  0.0323  0.2958  0.09
Friedman 1930   77  0.4051  0.0056  0.0460  0.0426  0.3249  0.11
Garcia 2007   85  0.2338  0.0083  0.0385  0.0341  0.1371  0.06
Garcia 2007b   86  0.2279  0.0085  0.0287  0.0275  0.0389  0.02
Gierzod 1998   13  0.6170  0.0023  0.0820  0.305  0.4619  0.37
Gornostaeva 1994   19  0.5922  0.0140  0.0543  0.1235  0.1941  0.15
Groot 1988   46  0.5273  0.0067  0.0455  0.0457  0.0483  0.04
Harasiewicz 1955   71  0.436  0.0435  0.0641  0.1249  0.0467  0.07
Hatto 1993   27  0.5766  0.0010  0.079  0.475  0.568  0.51
Hatto 1997   17  0.5967  0.0011  0.107  0.496  0.547  0.51
Horowitz 1949   64  0.4733  0.0069  0.0459  0.0462  0.0477  0.04
Indjic 1988   25  0.589  0.034  0.106  0.505  0.566  0.53
Kapell 1951   10  0.6447  0.0025  0.1023  0.2717  0.4520  0.35
Kissin 1993   40  0.5410  0.027  0.0918  0.3220  0.3721  0.34
Kushner 1989   21  0.5980  0.0042  0.0542  0.1237  0.1643  0.14
Luisada 1991   15  0.6042  0.0021  0.0814  0.4113  0.4414  0.42
Lushtak 2004   20  0.5919  0.0113  0.1110  0.469  0.539  0.49
Malcuzynski 1961   12  0.6344  0.0037  0.0538  0.1355  0.0463  0.07
Magaloff 1978   11  0.645  0.0428  0.0916  0.3536  0.1731  0.24
Magin 1975   23  0.5812  0.0227  0.0915  0.376  0.5412  0.45
Michalowski 1933   68  0.4448  0.0041  0.0539  0.1317  0.4234  0.23
Milkina 1970   30  0.5549  0.0036  0.0536  0.1538  0.1840  0.16
Mohovich 1999   48  0.5285  0.0066  0.0461  0.0461  0.0481  0.04
Moravec 1969   41  0.5421  0.0133  0.0826  0.2415  0.3825  0.30
Morozova 2008   44  0.5260  0.0045  0.0549  0.0545  0.0770  0.06
Neighaus 1950   7  0.667  0.0315  0.0912  0.4423  0.3816  0.41
Niedzielski 1931   45  0.5231  0.0055  0.0457  0.046  0.4642  0.14
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   28  0.5635  0.0043  0.0640  0.1222  0.2737  0.18
Pachmann 1927   73  0.4315  0.0157  0.0465  0.0429  0.2554  0.10
Paderewski 1930   49  0.5117  0.0172  0.0462  0.0448  0.0674  0.05
Perlemuter 1992   72  0.4346  0.0068  0.0647  0.0653  0.0472  0.05
Pierdomenico 2008   63  0.4852  0.0047  0.0458  0.0412  0.4245  0.13
Poblocka 1999   6  0.6740  0.0012  0.1611  0.456  0.5111  0.48
Rabcewiczowa 1932   60  0.5053  0.0071  0.0464  0.0430  0.2553  0.10
Rachmaninoff 1923   62  0.4827  0.0053  0.0551  0.0533  0.1952  0.10
Rangell 2001   16  0.5930  0.0038  0.0537  0.1518  0.3535  0.23
Richter 1976   67  0.4614  0.0160  0.0474  0.0446  0.0773  0.05
Rosen 1989   18  0.5924  0.0030  0.0922  0.2817  0.4222  0.34
Rosenthal 1930   70  0.4468  0.0080  0.0472  0.0449  0.0579  0.04
Rosenthal 1931   82  0.2888  0.0086  0.0288  0.0275  0.0388  0.02
Rosenthal 1931b   83  0.2889  0.0087  0.0382  0.0376  0.0386  0.03
Rosenthal 1931c   66  0.4686  0.0076  0.0469  0.0446  0.0584  0.04
Rosenthal 1931d   80  0.3283  0.0077  0.0378  0.0349  0.0582  0.04
Rossi 2007   87  0.1958  0.0084  0.0286  0.0258  0.0387  0.02
Rubinstein 1939   75  0.4223  0.0063  0.0381  0.0320  0.3847  0.11
Rubinstein 1952   42  0.533  0.075  0.0728  0.2320  0.4124  0.31
Rubinstein 1966   51  0.5161  0.0064  0.0470  0.0444  0.0969  0.06
Schilhawsky 1960   36  0.5471  0.0044  0.0544  0.0917  0.4036  0.19
Shebanova 2002   9  0.6411  0.028  0.094  0.536  0.575  0.55
Smith 1975   14  0.6059  0.0022  0.0719  0.3125  0.2827  0.29
Sokolov 2002   4  0.6713  0.0116  0.1017  0.359  0.4815  0.41
Sztompka 1959   52  0.5143  0.0070  0.0463  0.0453  0.0675  0.05
Tomsic 1995   37  0.5475  0.0049  0.0554  0.0540  0.1555  0.09
Uninsky 1932   65  0.4650  0.0054  0.0552  0.0537  0.1656  0.09
Uninsky 1971   33  0.558  0.0317  0.1034  0.2033  0.3130  0.25
Wasowski 1980   26  0.5716  0.0120  0.0825  0.252  0.5518  0.37
Zak 1937   43  0.5341  0.0034  0.0732  0.2026  0.3229  0.25
Zak 1951   53  0.5163  0.0031  0.0729  0.2323  0.3528  0.28
Random 1   89  0.0190  0.0089  0.0289  0.0227  0.2266  0.07
Random 2   90  -0.0884  0.0090  0.0190  0.0188  0.0190  0.01
Random 3   88  0.1464  0.0088  0.0384  0.031  0.6244  0.14

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).